diff --git a/automotive/can/1.0/default/libnl++/Android.bp b/automotive/can/1.0/default/libnl++/Android.bp
index 790adcd..2ebd1b4 100644
--- a/automotive/can/1.0/default/libnl++/Android.bp
+++ b/automotive/can/1.0/default/libnl++/Android.bp
@@ -35,6 +35,7 @@
         "protocols/generic/Generic.cpp",
         "protocols/generic/GenericMessageBase.cpp",
         "protocols/generic/Unknown.cpp",
+        "protocols/generic/families/Mac80211hwsim.cpp",
         "protocols/generic/families/Nl80211.cpp",
         "protocols/route/Link.cpp",
         "protocols/route/Route.cpp",
@@ -42,6 +43,7 @@
         "protocols/MessageDefinition.cpp",
         "protocols/NetlinkProtocol.cpp",
         "protocols/all.cpp",
+        "protocols/structs.cpp",
         "Attributes.cpp",
         "MessageFactory.cpp",
         "MessageMutator.cpp",
diff --git a/automotive/can/1.0/default/libnl++/MessageMutator.cpp b/automotive/can/1.0/default/libnl++/MessageMutator.cpp
index 00b48a6..de2a2b1 100644
--- a/automotive/can/1.0/default/libnl++/MessageMutator.cpp
+++ b/automotive/can/1.0/default/libnl++/MessageMutator.cpp
@@ -19,7 +19,7 @@
 namespace android::nl {
 
 MessageMutator::MessageMutator(nlmsghdr* buffer, size_t totalLen)
-    : mConstBuffer(buffer, totalLen), mMutableBuffer(buffer) {
+    : mMutableBuffer(buffer), mTotalLen(totalLen) {
     CHECK(totalLen >= sizeof(nlmsghdr));
 }
 
@@ -27,8 +27,12 @@
     return mMutableBuffer;
 }
 
+Buffer<nlmsghdr> MessageMutator::constBuffer() const {
+    return {mMutableBuffer, mTotalLen};
+}
+
 MessageMutator::operator Buffer<nlmsghdr>() const {
-    return mConstBuffer;
+    return constBuffer();
 }
 
 uint64_t MessageMutator::read(Buffer<nlattr> attr) const {
@@ -37,7 +41,8 @@
 
 void MessageMutator::write(Buffer<nlattr> attr, uint64_t val) const {
     const auto attrData = attr.data<uint64_t>();
-    const auto offset = mConstBuffer.getOffset(attrData);
+    // TODO(b/177251183): deduplicate this code against fragment()
+    const auto offset = constBuffer().getOffset(attrData);
     CHECK(offset.has_value()) << "Trying to write attribute that's not a member of this message";
 
     const auto writeableBuffer = reinterpret_cast<uint8_t*>(mMutableBuffer) + *offset;
@@ -47,4 +52,40 @@
     memcpy(writeableBuffer, &val, std::min(sizeof(val), attrSize));
 }
 
+MessageMutator MessageMutator::fragment(Buffer<nlmsghdr> buf) const {
+    const auto offset = constBuffer().getOffset(buf);
+    CHECK(offset.has_value()) << "Trying to modify a fragment outside of buffer range";
+
+    const auto writeableBuffer = reinterpret_cast<nlmsghdr*>(uintptr_t(mMutableBuffer) + *offset);
+    const auto len = buf.getRaw().len();
+    CHECK(len <= mTotalLen - *offset);
+
+    return {writeableBuffer, len};
+}
+
+MessageMutator::iterator MessageMutator::begin() const {
+    return {*this, constBuffer().begin()};
+}
+
+MessageMutator::iterator MessageMutator::end() const {
+    return {*this, constBuffer().end()};
+}
+
+MessageMutator::iterator::iterator(const MessageMutator& container,
+                                   Buffer<nlmsghdr>::iterator current)
+    : mContainer(container), mCurrent(current) {}
+
+MessageMutator::iterator MessageMutator::iterator::operator++() {
+    ++mCurrent;
+    return *this;
+}
+
+bool MessageMutator::iterator::operator==(const iterator& other) const {
+    return other.mCurrent == mCurrent;
+}
+
+const MessageMutator MessageMutator::iterator::operator*() const {
+    return mContainer.fragment(*mCurrent);
+}
+
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h b/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
index d759a0a..4cabb9a 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/Buffer.h
@@ -138,7 +138,7 @@
     class raw_iterator : public iterator {
       public:
         iterator operator++() {
-            this->mCurrent.mData++;  // ignore alignment
+            ++this->mCurrent.mData;  // ignore alignment
             return *this;
         }
         const T& operator*() const { return *this->mCurrent.mData; }
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/Message.h b/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
index 50b3c4b..29f397d 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/Message.h
@@ -34,7 +34,7 @@
  * a single instance can only be used by a single thread - the one owning the underlying buffer).
  */
 template <typename T>
-class Message {
+class Message : public Buffer<nlmsghdr> {
   public:
     /**
      * Validate buffer contents as a message carrying T data and create instance of parsed message.
@@ -51,7 +51,7 @@
 
         const auto attributes = buf.data<nlattr>(sizeof(T));
 
-        return Message<T>(nlHeader, dataHeader, attributes);
+        return Message<T>(buf, nlHeader, dataHeader, attributes);
     }
 
     /**
@@ -94,8 +94,9 @@
     const T* operator->() const { return &data; }
 
   private:
-    Message(const nlmsghdr& nlHeader, const T& dataHeader, Attributes attributes)
-        : header(nlHeader), data(dataHeader), attributes(attributes) {}
+    Message(Buffer<nlmsghdr> buffer, const nlmsghdr& nlHeader, const T& dataHeader,
+            Attributes attributes)
+        : Buffer<nlmsghdr>(buffer), header(nlHeader), data(dataHeader), attributes(attributes) {}
 };
 
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h b/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
index 7d495e9..baadc44 100644
--- a/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/MessageMutator.h
@@ -53,9 +53,27 @@
      */
     void write(Buffer<nlattr> attr, uint64_t val) const;
 
+    class iterator {
+      public:
+        iterator(const MessageMutator& container, Buffer<nlmsghdr>::iterator current);
+
+        iterator operator++();
+        bool operator==(const iterator& other) const;
+        const MessageMutator operator*() const;
+
+      protected:
+        const MessageMutator& mContainer;
+        Buffer<nlmsghdr>::iterator mCurrent;
+    };
+    iterator begin() const;
+    iterator end() const;
+
   private:
-    const Buffer<nlmsghdr> mConstBuffer;
     nlmsghdr* mMutableBuffer;
+    size_t mTotalLen;
+
+    Buffer<nlmsghdr> constBuffer() const;
+    MessageMutator fragment(Buffer<nlmsghdr> buf) const;
 };
 
 }  // namespace android::nl
diff --git a/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h b/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h
new file mode 100644
index 0000000..9b811f8
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/include/libnl++/generic/families/mac80211_hwsim.h
@@ -0,0 +1,73 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+// API definitions from kernel drivers/net/wireless/mac80211_hwsim.h
+
+#define BIT(n) (1 << (n))
+
+enum hwsim_tx_control_flags {
+    HWSIM_TX_CTL_REQ_TX_STATUS = BIT(0),
+    HWSIM_TX_CTL_NO_ACK = BIT(1),
+    HWSIM_TX_STAT_ACK = BIT(2),
+};
+
+enum {
+    HWSIM_CMD_UNSPEC,
+    HWSIM_CMD_REGISTER,
+    HWSIM_CMD_FRAME,
+    HWSIM_CMD_TX_INFO_FRAME,
+    HWSIM_CMD_NEW_RADIO,
+    HWSIM_CMD_DEL_RADIO,
+    HWSIM_CMD_GET_RADIO,
+    HWSIM_CMD_ADD_MAC_ADDR,
+    HWSIM_CMD_DEL_MAC_ADDR,
+};
+
+enum {
+    HWSIM_ATTR_UNSPEC,
+    HWSIM_ATTR_ADDR_RECEIVER,
+    HWSIM_ATTR_ADDR_TRANSMITTER,
+    HWSIM_ATTR_FRAME,
+    HWSIM_ATTR_FLAGS,
+    HWSIM_ATTR_RX_RATE,
+    HWSIM_ATTR_SIGNAL,
+    HWSIM_ATTR_TX_INFO,
+    HWSIM_ATTR_COOKIE,
+    HWSIM_ATTR_CHANNELS,
+    HWSIM_ATTR_RADIO_ID,
+    HWSIM_ATTR_REG_HINT_ALPHA2,
+    HWSIM_ATTR_REG_CUSTOM_REG,
+    HWSIM_ATTR_REG_STRICT_REG,
+    HWSIM_ATTR_SUPPORT_P2P_DEVICE,
+    HWSIM_ATTR_USE_CHANCTX,
+    HWSIM_ATTR_DESTROY_RADIO_ON_CLOSE,
+    HWSIM_ATTR_RADIO_NAME,
+    HWSIM_ATTR_NO_VIF,
+    HWSIM_ATTR_FREQ,
+    HWSIM_ATTR_PAD,
+    HWSIM_ATTR_TX_INFO_FLAGS,
+    HWSIM_ATTR_PERM_ADDR,
+    HWSIM_ATTR_IFTYPE_SUPPORT,
+    HWSIM_ATTR_CIPHER_SUPPORT,
+};
+
+struct hwsim_tx_rate {
+    int8_t idx;
+    uint8_t count;
+} __packed;
+static_assert(sizeof(hwsim_tx_rate) == 2);
+
+#undef BIT
diff --git a/automotive/can/1.0/default/libnl++/printer.cpp b/automotive/can/1.0/default/libnl++/printer.cpp
index f08897e..d540482 100644
--- a/automotive/can/1.0/default/libnl++/printer.cpp
+++ b/automotive/can/1.0/default/libnl++/printer.cpp
@@ -154,16 +154,19 @@
     }
 }
 
-std::string toString(const Buffer<nlmsghdr> hdr, int protocol, bool printPayload) {
-    if (!hdr.firstOk()) return "nlmsg{buffer overflow}";
+static void toStream(std::stringstream& ss, const Buffer<nlmsghdr> hdr, int protocol,
+                     bool printPayload) {
+    if (!hdr.firstOk()) {
+        ss << "nlmsg{buffer overflow}";
+        return;
+    }
 
-    std::stringstream ss;
     ss << std::setfill('0');
 
     auto protocolMaybe = protocols::get(protocol);
     if (!protocolMaybe.has_value()) {
         ss << "nlmsg{protocol=" << protocol << "}";
-        return ss.str();
+        return;
     }
     protocols::NetlinkProtocol& protocolDescr = *protocolMaybe;
 
@@ -187,7 +190,7 @@
     ss << ", crc=" << std::hex << std::setw(4) << crc16(hdr.data<uint8_t>()) << std::dec;
     ss << '}';
 
-    if (!printPayload) return ss.str();
+    if (!printPayload) return;
     ss << ' ';
 
     if (!msgDescMaybe.has_value()) {
@@ -210,6 +213,17 @@
     }
 
     ss << "}";
+}
+
+std::string toString(const Buffer<nlmsghdr> hdrs, int protocol, bool printPayload) {
+    std::stringstream ss;
+    bool first = true;
+    for (const auto hdr : hdrs) {
+        if (!first) ss << std::endl;
+        first = false;
+
+        toStream(ss, hdr, protocol, printPayload);
+    }
 
     return ss.str();
 }
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
index 1e1ad12..478c383 100644
--- a/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/Ctrl.cpp
@@ -16,6 +16,7 @@
 
 #include "Ctrl.h"
 
+#include "families/Mac80211hwsim.h"
 #include "families/Nl80211.h"
 
 #include <libnl++/Message.h>
@@ -68,12 +69,15 @@
     const auto familyId = msg.attributes.get<uint16_t>(CTRL_ATTR_FAMILY_ID);
     const auto familyName = msg.attributes.get<std::string>(CTRL_ATTR_FAMILY_NAME);
 
-    /* For now, we support just a single family. But if you add more, please define proper
+    /* For now, we support just two families. But if you add more, please define proper
      * abstraction and not hardcode every name and class here.
      */
     if (familyName == "nl80211") {
         mFamilyRegister[familyId] = std::make_shared<families::Nl80211>(familyId);
     }
+    if (familyName == "MAC80211_HWSIM") {
+        mFamilyRegister[familyId] = std::make_shared<families::Mac80211hwsim>(familyId);
+    }
 }
 
 }  // namespace android::nl::protocols::generic
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
index b7b811b..f92d6c0 100644
--- a/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/GenericMessageBase.cpp
@@ -40,9 +40,9 @@
 
     ss << "genlmsghdr{";
     if (commandName.has_value()) {
-        ss << "cmd=" << unsigned(data.cmd);
-    } else {
         ss << "cmd=" << *commandName;
+    } else {
+        ss << "cmd=" << unsigned(data.cmd);
     }
     ss << ", version=" << unsigned(data.version);
     if (data.reserved != 0) ss << ", reserved=" << data.reserved;
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp
new file mode 100644
index 0000000..f85309e
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.cpp
@@ -0,0 +1,91 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Mac80211hwsim.h"
+
+#include "../../structs.h"
+#include "common.h"
+
+#include <libnl++/generic/families/mac80211_hwsim.h>
+
+namespace android::nl::protocols::generic::families {
+
+using DataType = AttributeDefinition::DataType;
+using Flags = AttributeDefinition::Flags;
+
+static void hwsim_tx_rateToStream(std::stringstream& ss, const Buffer<nlattr> attr);
+
+static const FlagsMap txControlFlags{
+        {HWSIM_TX_CTL_REQ_TX_STATUS, "REQ_TX"},
+        {HWSIM_TX_CTL_NO_ACK, "NO_ACK"},
+        {HWSIM_TX_STAT_ACK, "ACK"},
+};
+
+// clang-format off
+Mac80211hwsim::Mac80211hwsim(nlmsgtype_t familyId) : GenericMessageBase(familyId, "hwsim", {
+    {HWSIM_CMD_UNSPEC, "UNSPEC"},
+    {HWSIM_CMD_REGISTER, "REGISTER"},
+    {HWSIM_CMD_FRAME, "FRAME"},
+    {HWSIM_CMD_TX_INFO_FRAME, "TX_INFO_FRAME"},
+    {HWSIM_CMD_NEW_RADIO, "NEW_RADIO"},
+    {HWSIM_CMD_DEL_RADIO, "DEL_RADIO"},
+    {HWSIM_CMD_GET_RADIO, "GET_RADIO"},
+    {HWSIM_CMD_ADD_MAC_ADDR, "ADD_MAC_ADDR"},
+    {HWSIM_CMD_DEL_MAC_ADDR, "DEL_MAC_ADDR"},
+}, {
+    {HWSIM_ATTR_UNSPEC, {"UNSPEC"}},
+    {HWSIM_ATTR_ADDR_RECEIVER, {"ADDR_RECEIVER", DataType::Struct, hwaddrToStream}},
+    {HWSIM_ATTR_ADDR_TRANSMITTER, {"ADDR_TRANSMITTER", DataType::Struct, hwaddrToStream}},
+    {HWSIM_ATTR_FRAME, {"FRAME", DataType::Raw, AttributeMap{}, Flags::Verbose}},
+    {HWSIM_ATTR_FLAGS, {"FLAGS", DataType::Struct, flagsToStream(txControlFlags)}},
+    {HWSIM_ATTR_RX_RATE, {"RX_RATE", DataType::Uint}},
+    {HWSIM_ATTR_SIGNAL, {"SIGNAL", DataType::Uint}},
+    {HWSIM_ATTR_TX_INFO, {"TX_INFO", DataType::Struct, hwsim_tx_rateToStream}},
+    {HWSIM_ATTR_COOKIE, {"COOKIE", DataType::Uint}},
+    {HWSIM_ATTR_CHANNELS, {"CHANNELS", DataType::Uint}},
+    {HWSIM_ATTR_RADIO_ID, {"RADIO_ID", DataType::Uint}},
+    {HWSIM_ATTR_REG_HINT_ALPHA2, {"REG_HINT_ALPHA2", DataType::String}},
+    {HWSIM_ATTR_REG_CUSTOM_REG, {"REG_CUSTOM_REG", DataType::Uint}},
+    {HWSIM_ATTR_REG_STRICT_REG, {"REG_STRICT_REG", DataType::Flag}},
+    {HWSIM_ATTR_SUPPORT_P2P_DEVICE, {"SUPPORT_P2P_DEVICE", DataType::Flag}},
+    {HWSIM_ATTR_USE_CHANCTX, {"USE_CHANCTX", DataType::Flag}},
+    {HWSIM_ATTR_DESTROY_RADIO_ON_CLOSE, {"DESTROY_RADIO_ON_CLOSE", DataType::Flag}},
+    {HWSIM_ATTR_RADIO_NAME, {"RADIO_NAME", DataType::String}},
+    {HWSIM_ATTR_NO_VIF, {"NO_VIF", DataType::Flag}},
+    {HWSIM_ATTR_FREQ, {"FREQ", DataType::Uint}},
+    {HWSIM_ATTR_PAD, {"PAD", DataType::Uint}},
+    {HWSIM_ATTR_TX_INFO_FLAGS, {"TX_INFO_FLAGS"}},  // hwsim_tx_rate_flag
+    {HWSIM_ATTR_PERM_ADDR, {"PERM_ADDR"}},
+    {HWSIM_ATTR_IFTYPE_SUPPORT, {"IFTYPE_SUPPORT", DataType::Uint}},  // NL80211_IFTYPE_STATION etc
+    {HWSIM_ATTR_CIPHER_SUPPORT, {"CIPHER_SUPPORT", DataType::Struct, arrayToStream<int32_t>}},
+}) {}
+// clang-format on
+
+static void hwsim_tx_rateToStream(std::stringstream& ss, const Buffer<nlattr> attr) {
+    ss << '{';
+    bool first = true;
+    for (const auto rate : attr.data<hwsim_tx_rate>().getRaw()) {
+        if (rate.idx == -1) continue;
+
+        ss << (int)rate.idx << ": " << (unsigned)rate.count;
+
+        if (!first) ss << ", ";
+        first = false;
+    }
+    ss << '}';
+}
+
+}  // namespace android::nl::protocols::generic::families
diff --git a/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h
new file mode 100644
index 0000000..c01eb93
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/generic/families/Mac80211hwsim.h
@@ -0,0 +1,28 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "../GenericMessageBase.h"
+
+namespace android::nl::protocols::generic::families {
+
+class Mac80211hwsim : public GenericMessageBase {
+  public:
+    Mac80211hwsim(nlmsgtype_t familyId);
+};
+
+}  // namespace android::nl::protocols::generic::families
diff --git a/automotive/can/1.0/default/libnl++/protocols/structs.cpp b/automotive/can/1.0/default/libnl++/protocols/structs.cpp
new file mode 100644
index 0000000..8ff71f0
--- /dev/null
+++ b/automotive/can/1.0/default/libnl++/protocols/structs.cpp
@@ -0,0 +1,57 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "structs.h"
+
+#include <iomanip>
+
+namespace android::nl::protocols {
+
+AttributeDefinition::ToStream flagsToStream(FlagsMap flags) {
+    return [flags](std::stringstream& ss, const Buffer<nlattr> attr) {
+        auto val = attr.data<uint64_t>().copyFirst();
+
+        bool first = true;
+        for (const auto& [flag, name] : flags) {
+            if ((val & flag) != flag) continue;
+            val &= ~flag;
+
+            if (!first) ss << '|';
+            first = false;
+
+            ss << name;
+        }
+
+        if (val == 0) return;
+
+        if (!first) ss << '|';
+        ss << std::hex << val << std::dec;
+    };
+}
+
+void hwaddrToStream(std::stringstream& ss, const Buffer<nlattr> attr) {
+    ss << std::hex;
+    bool first = true;
+    for (const auto byte : attr.data<uint8_t>().getRaw()) {
+        if (!first) ss << ':';
+        first = false;
+
+        ss << std::setw(2) << unsigned(byte);
+    }
+    ss << std::dec;
+}
+
+}  // namespace android::nl::protocols
diff --git a/automotive/can/1.0/default/libnl++/protocols/structs.h b/automotive/can/1.0/default/libnl++/protocols/structs.h
index 44c17b8..f3a8c44 100644
--- a/automotive/can/1.0/default/libnl++/protocols/structs.h
+++ b/automotive/can/1.0/default/libnl++/protocols/structs.h
@@ -16,6 +16,8 @@
 
 #pragma once
 
+#include "MessageDefinition.h"
+
 #include <sstream>
 
 namespace android::nl::protocols {
@@ -30,4 +32,9 @@
     ss << '}';
 }
 
+typedef std::map<uint64_t, std::string> FlagsMap;
+AttributeDefinition::ToStream flagsToStream(FlagsMap flags);
+
+void hwaddrToStream(std::stringstream& ss, const Buffer<nlattr> attr);
+
 }  // namespace android::nl::protocols
diff --git a/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h b/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
index abf33a3..81f3198 100644
--- a/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
+++ b/automotive/vehicle/2.0/default/impl/vhal_v2_0/DefaultConfig.h
@@ -1245,6 +1245,7 @@
                                 .access = VehiclePropertyAccess::READ,
                                 .changeMode = VehiclePropertyChangeMode::ON_CHANGE,
                         },
+                .initialValue = {.int32Values = {0 /* ClusterHome */, -1 /* ClusterNone */}},
         },
         {
                 .config =
@@ -1253,6 +1254,8 @@
                                 .access = VehiclePropertyAccess::READ,
                                 .changeMode = VehiclePropertyChangeMode::ON_CHANGE,
                         },
+                .initialValue = {.int32Values = {0 /* Off */, -1, -1, -1, -1 /* Bounds */,
+                                                 -1, -1, -1, -1 /* Insets */}},
         },
         {
                 .config =
@@ -1305,6 +1308,9 @@
                                 .changeMode = VehiclePropertyChangeMode::ON_CHANGE,
                                 .configArray = {0, 0, 0, 11, 0, 0, 0, 0, 16},
                         },
+                .initialValue = {.int32Values = {0 /* Off */, -1, -1, -1, -1 /* Bounds */,
+                                                 -1, -1, -1, -1 /* Insets */,
+                                                 0 /* ClusterHome */, -1 /* ClusterNone */}},
         },
         {
                 .config =
@@ -1313,6 +1319,7 @@
                                 .access = VehiclePropertyAccess::READ,
                                 .changeMode = VehiclePropertyChangeMode::ON_CHANGE,
                         },
+                .initialValue = {.int32Values = {0 /* ClusterHome */}},
         },
         {
                 .config =
diff --git a/biometrics/fingerprint/aidl/default/tests/WorkerThreadTest.cpp b/biometrics/fingerprint/aidl/default/tests/WorkerThreadTest.cpp
index c548fe5..8443336 100644
--- a/biometrics/fingerprint/aidl/default/tests/WorkerThreadTest.cpp
+++ b/biometrics/fingerprint/aidl/default/tests/WorkerThreadTest.cpp
@@ -40,8 +40,7 @@
             promise.set_value();
         })));
 
-        auto status = future.wait_for(1s);
-        EXPECT_EQ(status, std::future_status::ready);
+        future.wait();
     }
 }
 
@@ -56,12 +55,11 @@
         // Notify that the task has started.
         promise.set_value();
         // Block for a "very long" time.
-        std::this_thread::sleep_for(2s);
+        std::this_thread::sleep_for(1s);
     })));
 
     // Make sure the long-running task began executing.
-    auto status = future.wait_for(1s);
-    ASSERT_EQ(status, std::future_status::ready);
+    future.wait();
 
     // The first task is already being worked on, which means the queue must be empty.
     // Fill the worker's queue to the maximum.
@@ -91,8 +89,7 @@
     // Schedule a special task to signal when all of the tasks are finished.
     worker.schedule(
             Callable::from([promise = std::move(promise)]() mutable { promise.set_value(); }));
-    auto status = future.wait_for(1s);
-    ASSERT_EQ(status, std::future_status::ready);
+    future.wait();
 
     ASSERT_EQ(results.size(), NUM_TASKS);
     EXPECT_TRUE(std::is_sorted(results.begin(), results.end()));
@@ -115,8 +112,7 @@
         })));
 
         // The first task should start executing.
-        auto status = future1.wait_for(1s);
-        ASSERT_EQ(status, std::future_status::ready);
+        future1.wait();
 
         // The second task should schedule successfully.
         ASSERT_TRUE(
@@ -128,8 +124,7 @@
     }
 
     // The second task should never execute.
-    auto status = future2.wait_for(1s);
-    ASSERT_EQ(status, std::future_status::ready);
+    future2.wait();
     // The future is expected to be ready but contain an exception.
     // Cannot use ASSERT_THROW because exceptions are disabled in this codebase.
     // ASSERT_THROW(future2.get(), std::future_error);
diff --git a/compatibility_matrices/compatibility_matrix.current.xml b/compatibility_matrices/compatibility_matrix.current.xml
index 01cd1f6..32179b9 100644
--- a/compatibility_matrices/compatibility_matrix.current.xml
+++ b/compatibility_matrices/compatibility_matrix.current.xml
@@ -90,7 +90,7 @@
         <version>2.0</version>
         <interface>
             <name>IVehicle</name>
-            <instance>default</instance>
+            <regex-instance>.*</regex-instance>
         </interface>
     </hal>
     <hal format="hidl" optional="true">
@@ -521,12 +521,20 @@
     </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.soundtrigger</name>
-        <version>2.3</version>
+        <version>2.3-4</version>
         <interface>
             <name>ISoundTriggerHw</name>
             <instance>default</instance>
         </interface>
     </hal>
+    <hal format="aidl" optional="true">
+         <name>android.hardware.soundtrigger3</name>
+         <version>1</version>
+         <interface>
+             <name>ISoundTriggerHw</name>
+             <instance>default</instance>
+         </interface>
+    </hal>
     <hal format="hidl" optional="true">
         <name>android.hardware.tetheroffload.config</name>
         <version>1.0</version>
diff --git a/current.txt b/current.txt
index bdbe1b8..3102972 100644
--- a/current.txt
+++ b/current.txt
@@ -785,6 +785,8 @@
 550619f876cadbea1f718edce120f0e1dd4a6f4bd4c28b59d479677dc86b0aec android.hardware.neuralnetworks@1.3::types
 c3fec5bd470984402997f78a74b6511efc4063b270f2bd9ee7b78f48b683a1bb android.hardware.neuralnetworks@1.3::IDevice
 0fdfad62c2ec33b52e6687004e5a1971c02d10b93ee4d26df5ccff7ce032494a android.hardware.neuralnetworks@1.3::IPreparedModel
+b40c13f9a9affc806c778c1f8c78e90d4acb50f1d6a6be185d933d7a04b91c5b android.hardware.sensors@1.0::ISensors
+432086950205f5876da85dbd42004b0d0d05b429b9494b4f76a4d888758c5bd8 android.hardware.sensors@1.0::types
 e8c86c69c438da8d1549856c1bb3e2d1b8da52722f8235ff49a30f2cce91742c android.hardware.soundtrigger@2.1::ISoundTriggerHwCallback
 b9fbb6e2e061ed0960939d48b785e9700210add1f13ed32ecd688d0f1ca20ef7 android.hardware.renderscript@1.0::types
 0f53d70e1eadf8d987766db4bf6ae2048004682168f4cab118da576787def3fa android.hardware.radio@1.0::types
@@ -854,7 +856,7 @@
 f22813615be1445ddd817655c054fc69dc9efea56c9035cd0757f3cbed190641 android.hardware.radio.config@1.3::IRadioConfig
 c9ad18729268593d14681d88ffad1c97e707444a45e1b4ed804dab949edbd84f android.hardware.radio.config@1.3::IRadioConfigResponse
 fd43298c43f70130c747a642ee43b0c242ac0cebffb377faa24f2725f0aa6caf android.hardware.tetheroffload.control@1.1::IOffloadControl
-fe18c9032e4063efca3fff3c377dd69780de1f96e8e2bc3f7d100a5d8bd467b4 android.hardware.tetheroffload.control@1.1::ITetheringOffloadCallback
+ead4ec8713a2cb40906fe31ba793d21a6b1190143c446690d16a6ea686aa2fea android.hardware.tetheroffload.control@1.1::ITetheringOffloadCallback
 e34b4c7bec5e032c14804707ca924dd6b99ed5ba139da7505fe7d698d0fe178f android.hardware.tetheroffload.control@1.1::types
 63dfdb433ac73fb2bf4a44d2ade7b7e289e155835206d1939640d6c88d208994 android.hardware.tv.cec@1.1::IHdmiCec
 b9682587677ce9c872e04f0e9fd6c9c78a56ae795c07cbf8c50100e0351d4c44 android.hardware.tv.cec@1.1::IHdmiCecCallback
diff --git a/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp b/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
index f17336b..f57c599 100644
--- a/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
+++ b/gnss/2.0/vts/functional/gnss_hal_test_cases.cpp
@@ -464,12 +464,10 @@
     gnss_cb_->location_cbq_.reset();
 
     // Start of Low Power Mode test
-    SetPositionMode(kMinIntervalMsec, kLowPowerMode);
-
     // Don't expect true - as without AGPS access
     if (!StartAndCheckFirstLocation(/* strict= */ false,
-                                    /* min_interval_msec= */ 1000,
-                                    /* low_power_mode= */ false)) {
+                                    /* min_interval_msec= */ kMinIntervalMsec,
+                                    /* low_power_mode= */ kLowPowerMode)) {
         ALOGW("GetLocationLowPower test - no first low power location received.");
     }
 
diff --git a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
index 747ee90..8c17841 100644
--- a/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
+++ b/gnss/aidl/aidl_api/android.hardware.gnss/current/android/hardware/gnss/SatellitePvt.aidl
@@ -34,9 +34,13 @@
 package android.hardware.gnss;
 @VintfStability
 parcelable SatellitePvt {
+  int flags;
   android.hardware.gnss.SatellitePositionEcef satPosEcef;
   android.hardware.gnss.SatelliteVelocityEcef satVelEcef;
   android.hardware.gnss.SatelliteClockInfo satClockInfo;
   double ionoDelayMeters;
   double tropoDelayMeters;
+  const int HAS_POSITION_VELOCITY_CLOCK_INFO = 1;
+  const int HAS_IONO = 2;
+  const int HAS_TROPO = 4;
 }
diff --git a/gnss/aidl/android/hardware/gnss/GnssMeasurement.aidl b/gnss/aidl/android/hardware/gnss/GnssMeasurement.aidl
index 336e927..58f29c5 100644
--- a/gnss/aidl/android/hardware/gnss/GnssMeasurement.aidl
+++ b/gnss/aidl/android/hardware/gnss/GnssMeasurement.aidl
@@ -625,6 +625,17 @@
      * The position and velocity must be in ECEF coordinates.
      *
      * If the data is available, gnssMeasurementFlags must contain HAS_SATELLITE_PVT.
+     *
+     * If SatellitePvt is derived from Broadcast ephemeris, then the position is already w.r.t.
+     * the antenna phase center. However, if SatellitePvt is derived from other modeled orbits,
+     * such as long-term-orbits, or precise orbits, then the orbits may have been computed w.r.t.
+     * the satellite center of mass, and then GNSS vendors are expected to correct for the effect
+     * on different phase centers (can differ by meters) of different GNSS signals (e.g. L1, L5)
+     * on the reported satellite position. Accordingly, we might observe a different satellite
+     * position reported for L1 GnssMeasurement struct compared to L5 GnssMeasurement struct.
+     *
+     * If receivedSvTimeNs is not fully decoded, Satellite PVT could still be reported and
+     * receivedSvTimeNs uncertainty field would be used to provide confidence.
      */
     SatellitePvt satellitePvt;
 
diff --git a/gnss/aidl/android/hardware/gnss/SatelliteClockInfo.aidl b/gnss/aidl/android/hardware/gnss/SatelliteClockInfo.aidl
index 844fd1c..4b7d5d6 100644
--- a/gnss/aidl/android/hardware/gnss/SatelliteClockInfo.aidl
+++ b/gnss/aidl/android/hardware/gnss/SatelliteClockInfo.aidl
@@ -24,6 +24,14 @@
     /**
      * Satellite hardware code bias of the reported code type w.r.t
      * ionosphere-free measurement in meters.
+     *
+     * When broadcast ephemeris is used, this is the offset caused
+     * by the satellite hardware delays at different frequencies;
+     * e.g. in IS-GPS-705D, this term is described in Section
+     * 20.3.3.3.1.2.1.
+     *
+     * For GPS this term is ~10ns, and affects the satellite position
+     * computation by less than a millimeter.
      */
     double satHardwareCodeBiasMeters;
 
@@ -31,9 +39,20 @@
      * Satellite time correction for ionospheric-free signal measurement
      * (meters). The satellite clock correction for the given signal type
      * = satTimeCorrectionMeters - satHardwareCodeBiasMeters.
+     *
+     * When broadcast ephemeris is used, this is the offset modeled in the
+     * clock terms broadcast over the air by the satellites;
+     * e.g. in IS-GPS-200H, Section 20.3.3.3.3.1, this term is
+     * ∆tsv = af0 + af1(t - toc) + af2(t - toc)^2 + ∆tr.
+     *
+     * If another source of ephemeris is used for SatellitePvt, then the
+     * equivalent value of satTimeCorrection must be provided.
+     *
+     * For GPS this term is ~1ms, and affects the satellite position
+     * computation by ~1m.
      */
     double satTimeCorrectionMeters;
 
     /** Satellite clock drift (meters per second). */
     double satClkDriftMps;
-}
\ No newline at end of file
+}
diff --git a/gnss/aidl/android/hardware/gnss/SatellitePvt.aidl b/gnss/aidl/android/hardware/gnss/SatellitePvt.aidl
index ea55f0c..a238e3f 100644
--- a/gnss/aidl/android/hardware/gnss/SatellitePvt.aidl
+++ b/gnss/aidl/android/hardware/gnss/SatellitePvt.aidl
@@ -16,9 +16,9 @@
 
 package android.hardware.gnss;
 
+import android.hardware.gnss.SatelliteClockInfo;
 import android.hardware.gnss.SatellitePositionEcef;
 import android.hardware.gnss.SatelliteVelocityEcef;
-import android.hardware.gnss.SatelliteClockInfo;
 
 /**
  * Contains estimates of the satellite position, velocity and time in the
@@ -27,6 +27,34 @@
 @VintfStability
 parcelable SatellitePvt {
     /**
+     * Bit mask indicating valid satellite position, velocity and clock info fields are
+     * stored in the SatellitePvt.
+     */
+    const int HAS_POSITION_VELOCITY_CLOCK_INFO = 1 << 0;
+
+    /**
+     * Bit mask indicating a valid iono delay field is stored in the SatellitePvt.
+     */
+    const int HAS_IONO = 1 << 1;
+
+    /**
+     * Bit mask indicating a valid tropo delay field is stored in the SatellitePvt.
+     */
+    const int HAS_TROPO = 1 << 2;
+
+    /**
+     * A bitfield of flags indicating the validity of the fields in this SatellitePvt.
+     * The bit masks are defined in the constants with prefix HAS_*
+     *
+     * Fields for which there is no corresponding flag must be filled in with a valid value.
+     * For convenience, these are marked as mandatory.
+     *
+     * Others fields may have invalid information in them, if not marked as valid by the
+     * corresponding bit in flags.
+     */
+    int flags;
+
+    /**
      * Satellite position in WGS84 ECEF. See comments of
      * SatellitePositionEcef for units.
      */
@@ -46,4 +74,4 @@
 
     /** Tropospheric delay in meters. */
     double tropoDelayMeters;
-}
\ No newline at end of file
+}
diff --git a/gnss/aidl/vts/gnss_hal_test_cases.cpp b/gnss/aidl/vts/gnss_hal_test_cases.cpp
index 0fc2ff8..67ccf52 100644
--- a/gnss/aidl/vts/gnss_hal_test_cases.cpp
+++ b/gnss/aidl/vts/gnss_hal_test_cases.cpp
@@ -38,6 +38,7 @@
 using android::hardware::gnss::IGnssPowerIndication;
 using android::hardware::gnss::IGnssPsds;
 using android::hardware::gnss::PsdsType;
+using android::hardware::gnss::SatellitePvt;
 
 using GnssConstellationTypeAidl = android::hardware::gnss::GnssConstellationType;
 
@@ -128,22 +129,39 @@
                          GnssMeasurement::HAS_SATELLITE_PVT |
                          GnssMeasurement::HAS_CORRELATION_VECTOR));
 
-        if ((measurement.flags & GnssMeasurement::HAS_SATELLITE_PVT) &&
-            (has_capability_satpvt == true)) {
-            ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posXMeters >= -43000000 &&
-                        measurement.satellitePvt.satPosEcef.posXMeters <= 43000000);
-            ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posYMeters >= -43000000 &&
-                        measurement.satellitePvt.satPosEcef.posYMeters <= 43000000);
-            ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posZMeters >= -43000000 &&
-                        measurement.satellitePvt.satPosEcef.posZMeters <= 43000000);
-            ASSERT_TRUE(measurement.satellitePvt.satPosEcef.ureMeters > 0);
-            ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velXMps >= -4000 &&
-                        measurement.satellitePvt.satVelEcef.velXMps <= 4000);
-            ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velYMps >= -4000 &&
-                        measurement.satellitePvt.satVelEcef.velYMps <= 4000);
-            ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velZMps >= -4000 &&
-                        measurement.satellitePvt.satVelEcef.velZMps <= 4000);
-            ASSERT_TRUE(measurement.satellitePvt.satVelEcef.ureRateMps > 0);
+        if (measurement.flags & GnssMeasurement::HAS_SATELLITE_PVT &&
+            has_capability_satpvt == true) {
+            if (measurement.satellitePvt.flags & SatellitePvt::HAS_POSITION_VELOCITY_CLOCK_INFO) {
+                ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posXMeters >= -43000000 &&
+                            measurement.satellitePvt.satPosEcef.posXMeters <= 43000000);
+                ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posYMeters >= -43000000 &&
+                            measurement.satellitePvt.satPosEcef.posYMeters <= 43000000);
+                ASSERT_TRUE(measurement.satellitePvt.satPosEcef.posZMeters >= -43000000 &&
+                            measurement.satellitePvt.satPosEcef.posZMeters <= 43000000);
+                ASSERT_TRUE(measurement.satellitePvt.satPosEcef.ureMeters > 0);
+                ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velXMps >= -4000 &&
+                            measurement.satellitePvt.satVelEcef.velXMps <= 4000);
+                ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velYMps >= -4000 &&
+                            measurement.satellitePvt.satVelEcef.velYMps <= 4000);
+                ASSERT_TRUE(measurement.satellitePvt.satVelEcef.velZMps >= -4000 &&
+                            measurement.satellitePvt.satVelEcef.velZMps <= 4000);
+                ASSERT_TRUE(measurement.satellitePvt.satVelEcef.ureRateMps > 0);
+                ASSERT_TRUE(
+                        measurement.satellitePvt.satClockInfo.satHardwareCodeBiasMeters > -17.869 &&
+                        measurement.satellitePvt.satClockInfo.satHardwareCodeBiasMeters < 17.729);
+                ASSERT_TRUE(measurement.satellitePvt.satClockInfo.satTimeCorrectionMeters > -3e6 &&
+                            measurement.satellitePvt.satClockInfo.satTimeCorrectionMeters < 3e6);
+                ASSERT_TRUE(measurement.satellitePvt.satClockInfo.satClkDriftMps > -1.117 &&
+                            measurement.satellitePvt.satClockInfo.satClkDriftMps < 1.117);
+            }
+            if (measurement.satellitePvt.flags & SatellitePvt::HAS_IONO) {
+                ASSERT_TRUE(measurement.satellitePvt.ionoDelayMeters > 0 &&
+                            measurement.satellitePvt.ionoDelayMeters < 100);
+            }
+            if (measurement.satellitePvt.flags & SatellitePvt::HAS_TROPO) {
+                ASSERT_TRUE(measurement.satellitePvt.tropoDelayMeters > 0 &&
+                            measurement.satellitePvt.tropoDelayMeters < 100);
+            }
         }
 
         if (kIsCorrelationVectorSupported &&
diff --git a/gnss/common/utils/default/Utils.cpp b/gnss/common/utils/default/Utils.cpp
index 9bc6786..569dac4 100644
--- a/gnss/common/utils/default/Utils.cpp
+++ b/gnss/common/utils/default/Utils.cpp
@@ -31,6 +31,7 @@
 using aidl::android::hardware::gnss::GnssMeasurement;
 using aidl::android::hardware::gnss::IGnss;
 using aidl::android::hardware::gnss::IGnssMeasurementCallback;
+using aidl::android::hardware::gnss::SatellitePvt;
 
 using GnssSvFlags = V1_0::IGnssCallback::GnssSvFlags;
 using GnssMeasurementFlagsV1_0 = V1_0::IGnssMeasurementCallback::GnssMeasurementFlags;
@@ -175,7 +176,9 @@
             .fullInterSignalBiasUncertaintyNs = 792.0,
             .satelliteInterSignalBiasNs = 233.9,
             .satelliteInterSignalBiasUncertaintyNs = 921.2,
-            .satellitePvt = {.satPosEcef = {.posXMeters = 10442993.1153328,
+            .satellitePvt = {.flags = SatellitePvt::HAS_POSITION_VELOCITY_CLOCK_INFO |
+                                      SatellitePvt::HAS_IONO | SatellitePvt::HAS_TROPO,
+                             .satPosEcef = {.posXMeters = 10442993.1153328,
                                             .posYMeters = -19926932.8051666,
                                             .posZMeters = -12034295.0216203,
                                             .ureMeters = 1000.2345678},
diff --git a/identity/aidl/default/libeic/EicCbor.c b/identity/aidl/default/libeic/EicCbor.c
index fe131eb..0e2684f 100644
--- a/identity/aidl/default/libeic/EicCbor.c
+++ b/identity/aidl/default/libeic/EicCbor.c
@@ -114,7 +114,7 @@
         data[4] = size & 0xff;
         eicCborAppend(cbor, data, 5);
     } else {
-        data[0] = (majorType << 5) | 24;
+        data[0] = (majorType << 5) | 27;
         data[1] = (((uint64_t)size) >> 56) & 0xff;
         data[2] = (((uint64_t)size) >> 48) & 0xff;
         data[3] = (((uint64_t)size) >> 40) & 0xff;
diff --git a/keymaster/4.1/vts/functional/DeviceUniqueAttestationTest.cpp b/keymaster/4.1/vts/functional/DeviceUniqueAttestationTest.cpp
index e46cb48..0639da8 100644
--- a/keymaster/4.1/vts/functional/DeviceUniqueAttestationTest.cpp
+++ b/keymaster/4.1/vts/functional/DeviceUniqueAttestationTest.cpp
@@ -243,7 +243,9 @@
 
     EXPECT_EQ(ErrorCode::OK, result);
     EXPECT_EQ(2U, cert_chain.size());
-    if (dumpAttestations) dumpContent(bin2hex(cert_chain[0]));
+    if (dumpAttestations) {
+      for (auto cert_ : cert_chain) dumpContent(bin2hex(cert_));
+    }
     auto [err, attestation] = parse_attestation_record(cert_chain[0]);
     ASSERT_EQ(ErrorCode::OK, err);
 
@@ -287,7 +289,9 @@
 
     EXPECT_EQ(ErrorCode::OK, result);
     EXPECT_EQ(2U, cert_chain.size());
-    if (dumpAttestations) dumpContent(bin2hex(cert_chain[0]));
+    if (dumpAttestations) {
+      for (auto cert_ : cert_chain) dumpContent(bin2hex(cert_));
+    }
     auto [err, attestation] = parse_attestation_record(cert_chain[0]);
     ASSERT_EQ(ErrorCode::OK, err);
 
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
index 7849ca7..8bd2fbe 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
@@ -48,6 +48,10 @@
             const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
   private:
     const nn::SharedPreparedModel kPreparedModel;
 };
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Execution.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Execution.h
new file mode 100644
index 0000000..e201e25
--- /dev/null
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Execution.h
@@ -0,0 +1,64 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_EXECUTION_H
+
+#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/ProtectCallback.h>
+
+#include "PreparedModel.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_0::utils {
+
+class Execution final : public nn::IExecution, public std::enable_shared_from_this<Execution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const Execution>> create(
+            std::shared_ptr<const PreparedModel> preparedModel, Request request,
+            hal::utils::RequestRelocation relocation);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              Request request, hal::utils::RequestRelocation relocation);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const PreparedModel> kPreparedModel;
+    const Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+};
+
+}  // namespace android::hardware::neuralnetworks::V1_0::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_EXECUTION_H
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
index 8853eea..48be595 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
@@ -57,10 +57,17 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const V1_0::Request& request, const hal::utils::RequestRelocation& relocation) const;
+
   private:
     const sp<V1_0::IPreparedModel> kPreparedModel;
     const hal::utils::DeathHandler kDeathHandler;
diff --git a/neuralnetworks/1.0/utils/src/Burst.cpp b/neuralnetworks/1.0/utils/src/Burst.cpp
index e3a9757..1284721 100644
--- a/neuralnetworks/1.0/utils/src/Burst.cpp
+++ b/neuralnetworks/1.0/utils/src/Burst.cpp
@@ -55,4 +55,10 @@
     return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
 }
 
+nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
diff --git a/neuralnetworks/1.0/utils/src/Execution.cpp b/neuralnetworks/1.0/utils/src/Execution.cpp
new file mode 100644
index 0000000..7a3216b
--- /dev/null
+++ b/neuralnetworks/1.0/utils/src/Execution.cpp
@@ -0,0 +1,72 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Execution.h"
+
+#include "Callbacks.h"
+#include "Conversions.h"
+#include "Utils.h"
+
+#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+#include <nnapi/hal/ProtectCallback.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_0::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, Request request,
+        hal::utils::RequestRelocation relocation) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "V1_0::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation));
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, Request request,
+                     hal::utils::RequestRelocation relocation)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& /*deadline*/) const {
+    return kPreparedModel->executeInternal(kRequest, kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& /*waitFor*/, const nn::OptionalTimePoint& /*deadline*/,
+        const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+           << "IExecution::computeFenced is not supported on 1.0 HAL service";
+}
+
+}  // namespace android::hardware::neuralnetworks::V1_0::utils
diff --git a/neuralnetworks/1.0/utils/src/PreparedModel.cpp b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
index 858571d..00970c0 100644
--- a/neuralnetworks/1.0/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
@@ -19,6 +19,7 @@
 #include "Burst.h"
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
 #include "Utils.h"
 
 #include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
@@ -61,22 +62,35 @@
         const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
 
     const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
 
+    return executeInternal(hidlRequest, relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const V1_0::Request& request,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     const auto cb = sp<ExecutionCallback>::make();
     const auto scoped = kDeathHandler.protectCallback(cb.get());
 
-    const auto ret = kPreparedModel->execute(hidlRequest, cb);
+    const auto ret = kPreparedModel->execute(request, cb);
     const auto status = HANDLE_TRANSPORT_FAILURE(ret);
     HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
 
     auto result = NN_TRY(cb->get());
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return result;
 }
 
@@ -91,6 +105,20 @@
            << "IPreparedModel::executeFenced is not supported on 1.0 HAL service";
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming /*measure*/,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    auto hidlRequest = NN_TRY(convert(requestInShared));
+    return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation));
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     return Burst::create(shared_from_this());
 }
diff --git a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
index f19ed77..7820c06 100644
--- a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
@@ -19,6 +19,7 @@
 #include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -224,6 +225,150 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
 }
 
+TEST(PreparedModelTest, reusableExecute) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, execute(_, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteLaunchError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, execute(_, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecute(V1_0::ErrorStatus::GENERAL_FAILURE,
+                                         V1_0::ErrorStatus::GENERAL_FAILURE)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteReturnError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, execute(_, _))
+            .Times(1)
+            .WillOnce(Invoke(
+                    makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, execute(_, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, execute(_, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteCrash) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto ret = [&mockPreparedModel]() -> hardware::Return<V1_0::ErrorStatus> {
+        mockPreparedModel->simulateCrash();
+        return V1_0::ErrorStatus::NONE;
+    };
+    EXPECT_CALL(*mockPreparedModel, execute(_, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedNotSupported) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h
new file mode 100644
index 0000000..9c66446
--- /dev/null
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Execution.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
+
+#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/ProtectCallback.h>
+
+#include "PreparedModel.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+class Execution final : public nn::IExecution, public std::enable_shared_from_this<Execution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const Execution>> create(
+            std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+            hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              V1_0::Request request, hal::utils::RequestRelocation relocation,
+              V1_2::MeasureTiming measure);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const PreparedModel> kPreparedModel;
+    const V1_0::Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const MeasureTiming kMeasure;
+};
+
+}  // namespace android::hardware::neuralnetworks::V1_2::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
index 9669d8c0..dae1ff3 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
@@ -28,9 +28,11 @@
 #include <fmq/MessageQueue.h>
 #include <hidl/MQDescriptor.h>
 #include <nnapi/IBurst.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
 #include <nnapi/hal/ProtectCallback.h>
 
 #include <atomic>
@@ -51,14 +53,14 @@
  * across FMQ, making it appear to the runtime as a regular synchronous inference. Additionally,
  * this class manages the burst's memory cache.
  */
-class ExecutionBurstController final : public nn::IBurst {
+class ExecutionBurstController final
+    : public nn::IBurst,
+      public std::enable_shared_from_this<ExecutionBurstController> {
     struct PrivateConstructorTag {};
 
   public:
-    using FallbackFunction =
-            std::function<nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>(
-                    const nn::Request&, nn::MeasureTiming, const nn::OptionalTimePoint&,
-                    const nn::OptionalDuration&)>;
+    using FallbackFunction = std::function<
+            nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>()>;
 
     /**
      * NN runtime memory cache.
@@ -154,10 +156,10 @@
      * @return ExecutionBurstController Execution burst controller object.
      */
     static nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> create(
-            const sp<IPreparedModel>& preparedModel, FallbackFunction fallback,
+            nn::SharedPreparedModel preparedModel, const sp<IPreparedModel>& hidlPreparedModel,
             std::chrono::microseconds pollingTimeWindow);
 
-    ExecutionBurstController(PrivateConstructorTag tag, FallbackFunction fallback,
+    ExecutionBurstController(PrivateConstructorTag tag, nn::SharedPreparedModel preparedModel,
                              std::unique_ptr<RequestChannelSender> requestChannelSender,
                              std::unique_ptr<ResultChannelReceiver> resultChannelReceiver,
                              sp<ExecutionBurstCallback> callback, sp<IBurstContext> burstContext,
@@ -173,9 +175,21 @@
             const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration) const override;
 
+    // See IBurst::createReusableExecution for information on this method.
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
+    // If fallback is not nullptr, this method will invoke the fallback function to try another
+    // execution path if the packet could not be sent. Otherwise, failing to send the packet will
+    // result in an error.
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const std::vector<FmqRequestDatum>& requestPacket,
+            const hal::utils::RequestRelocation& relocation, FallbackFunction fallback) const;
+
   private:
     mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
-    const FallbackFunction kFallback;
+    const nn::SharedPreparedModel kPreparedModel;
     const std::unique_ptr<RequestChannelSender> mRequestChannelSender;
     const std::unique_ptr<ResultChannelReceiver> mResultChannelReceiver;
     const sp<ExecutionBurstCallback> mBurstCallback;
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
index fb11130..35abd79 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
@@ -58,10 +58,18 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const V1_0::Request& request, MeasureTiming measure,
+            const hal::utils::RequestRelocation& relocation) const;
+
   private:
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeSynchronously(
             const V1_0::Request& request, MeasureTiming measure) const;
diff --git a/neuralnetworks/1.2/utils/src/Execution.cpp b/neuralnetworks/1.2/utils/src/Execution.cpp
new file mode 100644
index 0000000..18d1c90
--- /dev/null
+++ b/neuralnetworks/1.2/utils/src/Execution.cpp
@@ -0,0 +1,74 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Execution.h"
+
+#include "Callbacks.h"
+#include "Conversions.h"
+#include "Utils.h"
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/types.h>
+#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.2/types.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+        hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "V1_2::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation), measure);
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, V1_0::Request request,
+                     hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& /*deadline*/) const {
+    return kPreparedModel->executeInternal(kRequest, kMeasure, kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& /*waitFor*/, const nn::OptionalTimePoint& /*deadline*/,
+        const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+           << "IExecution::computeFenced is not supported on 1.2 HAL service";
+}
+
+}  // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index 7a17f25..b4b6f68 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -28,6 +28,7 @@
 #include <nnapi/Types.h>
 #include <nnapi/Validation.h>
 #include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/CommonUtils.h>
 #include <nnapi/hal/HandleError.h>
 #include <nnapi/hal/ProtectCallback.h>
 #include <nnapi/hal/TransferValue.h>
@@ -50,6 +51,35 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 namespace {
 
+class BurstExecution final : public nn::IExecution,
+                             public std::enable_shared_from_this<BurstExecution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const BurstExecution>> create(
+            std::shared_ptr<const ExecutionBurstController> controller,
+            std::vector<FmqRequestDatum> request, hal::utils::RequestRelocation relocation,
+            std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds);
+
+    BurstExecution(PrivateConstructorTag tag,
+                   std::shared_ptr<const ExecutionBurstController> controller,
+                   std::vector<FmqRequestDatum> request, hal::utils::RequestRelocation relocation,
+                   std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const ExecutionBurstController> kController;
+    const std::vector<FmqRequestDatum> kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const std::vector<ExecutionBurstController::OptionalCacheHold> kCacheHolds;
+};
+
 nn::GeneralResult<sp<IBurstContext>> executionBurstResultCallback(
         V1_0::ErrorStatus status, const sp<IBurstContext>& burstContext) {
     HANDLE_HAL_STATUS(status) << "IPreparedModel::configureExecutionBurst failed with status "
@@ -209,10 +239,10 @@
 // ExecutionBurstController methods
 
 nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> ExecutionBurstController::create(
-        const sp<V1_2::IPreparedModel>& preparedModel, FallbackFunction fallback,
+        nn::SharedPreparedModel preparedModel, const sp<V1_2::IPreparedModel>& hidlPreparedModel,
         std::chrono::microseconds pollingTimeWindow) {
     // check inputs
-    if (preparedModel == nullptr) {
+    if (preparedModel == nullptr || hidlPreparedModel == nullptr) {
         return NN_ERROR() << "ExecutionBurstController::create passed a nullptr";
     }
 
@@ -236,7 +266,7 @@
     auto cb = hal::utils::CallbackValue(executionBurstResultCallback);
 
     // configure burst
-    const Return<void> ret = preparedModel->configureExecutionBurst(
+    const Return<void> ret = hidlPreparedModel->configureExecutionBurst(
             burstCallback, *requestChannelDescriptor, *resultChannelDescriptor, cb);
     HANDLE_TRANSPORT_FAILURE(ret);
 
@@ -250,18 +280,18 @@
 
     // make and return controller
     return std::make_shared<const ExecutionBurstController>(
-            PrivateConstructorTag{}, std::move(fallback), std::move(requestChannelSender),
+            PrivateConstructorTag{}, std::move(preparedModel), std::move(requestChannelSender),
             std::move(resultChannelReceiver), std::move(burstCallback), std::move(burstContext),
             std::move(memoryCache), std::move(deathHandler));
 }
 
 ExecutionBurstController::ExecutionBurstController(
-        PrivateConstructorTag /*tag*/, FallbackFunction fallback,
+        PrivateConstructorTag /*tag*/, nn::SharedPreparedModel preparedModel,
         std::unique_ptr<RequestChannelSender> requestChannelSender,
         std::unique_ptr<ResultChannelReceiver> resultChannelReceiver,
         sp<ExecutionBurstCallback> callback, sp<IBurstContext> burstContext,
         std::shared_ptr<MemoryCache> memoryCache, neuralnetworks::utils::DeathHandler deathHandler)
-    : kFallback(std::move(fallback)),
+    : kPreparedModel(std::move(preparedModel)),
       mRequestChannelSender(std::move(requestChannelSender)),
       mResultChannelReceiver(std::move(resultChannelReceiver)),
       mBurstCallback(std::move(callback)),
@@ -283,26 +313,98 @@
     // systraces. Note that the first point we can begin collecting systraces in
     // ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so
     // ExecutionBurstServer collects systraces at different points in the code.
-    NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::execute");
+    NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::execute");
 
     // if the request is valid but of a higher version than what's supported in burst execution,
     // fall back to another execution path
     if (const auto version = NN_TRY(hal::utils::makeExecutionFailure(nn::validate(request)));
         version > nn::Version::ANDROID_Q) {
         // fallback to another execution path if the packet could not be sent
-        if (kFallback) {
-            return kFallback(request, measure, deadline, loopTimeoutDuration);
-        }
-        return NN_ERROR() << "Request object has features not supported by IBurst::execute";
+        return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
     }
 
+    // ensure that request is ready for IPC
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
+
     // clear pools field of request, as they will be provided via slots
-    const auto requestWithoutPools =
-            nn::Request{.inputs = request.inputs, .outputs = request.outputs, .pools = {}};
+    const auto requestWithoutPools = nn::Request{
+            .inputs = requestInShared.inputs, .outputs = requestInShared.outputs, .pools = {}};
     auto hidlRequest = NN_TRY(
             hal::utils::makeExecutionFailure(V1_0::utils::unvalidatedConvert(requestWithoutPools)));
     const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
 
+    std::vector<int32_t> slots;
+    std::vector<OptionalCacheHold> holds;
+    slots.reserve(requestInShared.pools.size());
+    holds.reserve(requestInShared.pools.size());
+    for (const auto& memoryPool : requestInShared.pools) {
+        auto [slot, hold] = mMemoryCache->cacheMemory(std::get<nn::SharedMemory>(memoryPool));
+        slots.push_back(slot);
+        holds.push_back(std::move(hold));
+    }
+
+    // send request packet
+    const auto requestPacket = serialize(hidlRequest, hidlMeasure, slots);
+    const auto fallback = [this, &request, measure, &deadline, &loopTimeoutDuration] {
+        return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
+    };
+    return executeInternal(requestPacket, relocation, fallback);
+}
+
+// See IBurst::createReusableExecution for information on this method.
+nn::GeneralResult<nn::SharedExecution> ExecutionBurstController::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::createReusableExecution");
+
+    // if the request is valid but of a higher version than what's supported in burst execution,
+    // fall back to another execution path
+    if (const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(request)));
+        version > nn::Version::ANDROID_Q) {
+        // fallback to another execution path if the packet could not be sent
+        return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
+    }
+
+    // ensure that request is ready for IPC
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    // clear pools field of request, as they will be provided via slots
+    const auto requestWithoutPools = nn::Request{
+            .inputs = requestInShared.inputs, .outputs = requestInShared.outputs, .pools = {}};
+    auto hidlRequest = NN_TRY(V1_0::utils::unvalidatedConvert(requestWithoutPools));
+    const auto hidlMeasure = NN_TRY(convert(measure));
+
+    std::vector<int32_t> slots;
+    std::vector<OptionalCacheHold> holds;
+    slots.reserve(requestInShared.pools.size());
+    holds.reserve(requestInShared.pools.size());
+    for (const auto& memoryPool : requestInShared.pools) {
+        auto [slot, hold] = mMemoryCache->cacheMemory(std::get<nn::SharedMemory>(memoryPool));
+        slots.push_back(slot);
+        holds.push_back(std::move(hold));
+    }
+
+    const auto requestPacket = serialize(hidlRequest, hidlMeasure, slots);
+    return BurstExecution::create(shared_from_this(), std::move(requestPacket),
+                                  std::move(relocation), std::move(holds));
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+ExecutionBurstController::executeInternal(const std::vector<FmqRequestDatum>& requestPacket,
+                                          const hal::utils::RequestRelocation& relocation,
+                                          FallbackFunction fallback) const {
+    NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION,
+                 "ExecutionBurstController::executeInternal");
+
     // Ensure that at most one execution is in flight at any given time.
     const bool alreadyInFlight = mExecutionInFlight.test_and_set();
     if (alreadyInFlight) {
@@ -310,22 +412,16 @@
     }
     const auto guard = base::make_scope_guard([this] { mExecutionInFlight.clear(); });
 
-    std::vector<int32_t> slots;
-    std::vector<OptionalCacheHold> holds;
-    slots.reserve(request.pools.size());
-    holds.reserve(request.pools.size());
-    for (const auto& memoryPool : request.pools) {
-        auto [slot, hold] = mMemoryCache->cacheMemory(std::get<nn::SharedMemory>(memoryPool));
-        slots.push_back(slot);
-        holds.push_back(std::move(hold));
+    if (relocation.input) {
+        relocation.input->flush();
     }
 
     // send request packet
-    const auto sendStatus = mRequestChannelSender->send(hidlRequest, hidlMeasure, slots);
+    const auto sendStatus = mRequestChannelSender->sendPacket(requestPacket);
     if (!sendStatus.ok()) {
         // fallback to another execution path if the packet could not be sent
-        if (kFallback) {
-            return kFallback(request, measure, deadline, loopTimeoutDuration);
+        if (fallback) {
+            return fallback();
         }
         return NN_ERROR() << "Error sending FMQ packet: " << sendStatus.error();
     }
@@ -333,7 +429,47 @@
     // get result packet
     const auto [status, outputShapes, timing] =
             NN_TRY(hal::utils::makeExecutionFailure(mResultChannelReceiver->getBlocking()));
+
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return executionCallback(status, outputShapes, timing);
 }
 
+nn::GeneralResult<std::shared_ptr<const BurstExecution>> BurstExecution::create(
+        std::shared_ptr<const ExecutionBurstController> controller,
+        std::vector<FmqRequestDatum> request, hal::utils::RequestRelocation relocation,
+        std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds) {
+    if (controller == nullptr) {
+        return NN_ERROR() << "V1_2::utils::BurstExecution::create must have non-null controller";
+    }
+
+    return std::make_shared<const BurstExecution>(PrivateConstructorTag{}, std::move(controller),
+                                                  std::move(request), std::move(relocation),
+                                                  std::move(cacheHolds));
+}
+
+BurstExecution::BurstExecution(PrivateConstructorTag /*tag*/,
+                               std::shared_ptr<const ExecutionBurstController> controller,
+                               std::vector<FmqRequestDatum> request,
+                               hal::utils::RequestRelocation relocation,
+                               std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds)
+    : kController(std::move(controller)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kCacheHolds(std::move(cacheHolds)) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> BurstExecution::compute(
+        const nn::OptionalTimePoint& /*deadline*/) const {
+    return kController->executeInternal(kRequest, kRelocation, /*fallback=*/nullptr);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+BurstExecution::computeFenced(const std::vector<nn::SyncFence>& /*waitFor*/,
+                              const nn::OptionalTimePoint& /*deadline*/,
+                              const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+           << "IExecution::computeFenced is not supported on burst object";
+}
+
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index b209a44..d0ef36e 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -18,6 +18,7 @@
 
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
 #include "ExecutionBurstController.h"
 #include "ExecutionBurstUtils.h"
 #include "Utils.h"
@@ -93,19 +94,32 @@
         const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
 
     const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
 
-    auto result = kExecuteSynchronously ? executeSynchronously(hidlRequest, hidlMeasure)
-                                        : executeAsynchronously(hidlRequest, hidlMeasure);
+    return executeInternal(hidlRequest, hidlMeasure, relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const V1_0::Request& request, MeasureTiming measure,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
+    auto result = kExecuteSynchronously ? executeSynchronously(request, measure)
+                                        : executeAsynchronously(request, measure);
     auto [outputShapes, timing] = NN_TRY(std::move(result));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -120,6 +134,22 @@
            << "IPreparedModel::executeFenced is not supported on 1.2 HAL service";
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    auto hidlRequest = NN_TRY(convert(requestInShared));
+    auto hidlMeasure = NN_TRY(convert(measure));
+    return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation),
+                             hidlMeasure);
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     auto self = shared_from_this();
     auto fallback = [preparedModel = std::move(self)](
@@ -130,7 +160,7 @@
         return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
     };
     const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
-    return ExecutionBurstController::create(kPreparedModel, std::move(fallback), pollingTimeWindow);
+    return ExecutionBurstController::create(shared_from_this(), kPreparedModel, pollingTimeWindow);
 }
 
 std::any PreparedModel::getUnderlyingResource() const {
diff --git a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
index d297b1a..5e2ad79 100644
--- a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
@@ -21,6 +21,7 @@
 #include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -334,6 +335,248 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
 }
 
+TEST(PreparedModelTest, reusableExecuteSync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    Invoke(makeExecuteSynchronously(V1_0::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(
+                    makeExecuteSynchronously(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeExecuteAsynchronously(
+                    V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncLaunchError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(V1_0::ErrorStatus::GENERAL_FAILURE,
+                                                       V1_0::ErrorStatus::GENERAL_FAILURE, {},
+                                                       kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncReturnError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(
+                    V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncCrash) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    const auto ret = [&mockPreparedModel]() -> hardware::Return<V1_0::ErrorStatus> {
+        mockPreparedModel->simulateCrash();
+        return V1_0::ErrorStatus::NONE;
+    };
+    EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedNotSupported) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Execution.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Execution.h
new file mode 100644
index 0000000..06c33d4
--- /dev/null
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Execution.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_EXECUTION_H
+
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+
+#include "PreparedModel.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_3::utils {
+
+class Execution final : public nn::IExecution, public std::enable_shared_from_this<Execution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const Execution>> create(
+            std::shared_ptr<const PreparedModel> preparedModel, Request request,
+            hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure,
+            OptionalTimeoutDuration loopTimeoutDuration);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              Request request, hal::utils::RequestRelocation relocation,
+              V1_2::MeasureTiming measure, OptionalTimeoutDuration loopTimeoutDuration);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const PreparedModel> kPreparedModel;
+    const Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const V1_2::MeasureTiming kMeasure;
+    const OptionalTimeoutDuration kLoopTimeoutDuration;
+};
+
+}  // namespace android::hardware::neuralnetworks::V1_3::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_EXECUTION_H
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/PreparedModel.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/PreparedModel.h
index 690fecc..5acba71 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/PreparedModel.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/PreparedModel.h
@@ -57,10 +57,26 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const Request& request, V1_2::MeasureTiming measure, const OptionalTimePoint& deadline,
+            const OptionalTimeoutDuration& loopTimeoutDuration,
+            const hal::utils::RequestRelocation& relocation) const;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+    executeFencedInternal(const Request& request, const hidl_vec<hidl_handle>& waitFor,
+                          V1_2::MeasureTiming measure, const OptionalTimePoint& deadline,
+                          const OptionalTimeoutDuration& loopTimeoutDuration,
+                          const OptionalTimeoutDuration& timeoutDurationAfterFence,
+                          const hal::utils::RequestRelocation& relocation) const;
+
   private:
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeSynchronously(
             const Request& request, V1_2::MeasureTiming measure, const OptionalTimePoint& deadline,
diff --git a/neuralnetworks/1.3/utils/src/Execution.cpp b/neuralnetworks/1.3/utils/src/Execution.cpp
new file mode 100644
index 0000000..3d17cc3
--- /dev/null
+++ b/neuralnetworks/1.3/utils/src/Execution.cpp
@@ -0,0 +1,84 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Execution.h"
+
+#include "Conversions.h"
+#include "PreparedModel.h"
+#include "Utils.h"
+
+#include <android/hardware/neuralnetworks/1.0/types.h>
+#include <android/hardware/neuralnetworks/1.1/types.h>
+#include <android/hardware/neuralnetworks/1.2/types.h>
+#include <android/hardware/neuralnetworks/1.3/IPreparedModel.h>
+#include <android/hardware/neuralnetworks/1.3/types.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace android::hardware::neuralnetworks::V1_3::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, Request request,
+        hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure,
+        OptionalTimeoutDuration loopTimeoutDuration) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "V1_3::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation), measure,
+                                             std::move(loopTimeoutDuration));
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, Request request,
+                     hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure,
+                     OptionalTimeoutDuration loopTimeoutDuration)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure),
+      kLoopTimeoutDuration(std::move(loopTimeoutDuration)) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& deadline) const {
+    const auto hidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    return kPreparedModel->executeInternal(kRequest, kMeasure, hidlDeadline, kLoopTimeoutDuration,
+                                           kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+        const nn::OptionalDuration& timeoutDurationAfterFence) const {
+    const auto hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
+    const auto hidlDeadline = NN_TRY(convert(deadline));
+    const auto hidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return kPreparedModel->executeFencedInternal(kRequest, hidlWaitFor, kMeasure, hidlDeadline,
+                                                 kLoopTimeoutDuration,
+                                                 hidlTimeoutDurationAfterFence, kRelocation);
+}
+
+}  // namespace android::hardware::neuralnetworks::V1_3::utils
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index fd7f8f2..1623de5 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -18,6 +18,7 @@
 
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
 #include "Utils.h"
 
 #include <android/hardware/neuralnetworks/1.0/types.h>
@@ -139,8 +140,11 @@
         const nn::OptionalDuration& loopTimeoutDuration) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
 
     const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto hidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
@@ -148,16 +152,27 @@
     const auto hidlLoopTimeoutDuration =
             NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
 
+    return executeInternal(hidlRequest, hidlMeasure, hidlDeadline, hidlLoopTimeoutDuration,
+                           relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const Request& request, V1_2::MeasureTiming measure,
+                               const OptionalTimePoint& deadline,
+                               const OptionalTimeoutDuration& loopTimeoutDuration,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     auto result = kExecuteSynchronously
-                          ? executeSynchronously(hidlRequest, hidlMeasure, hidlDeadline,
-                                                 hidlLoopTimeoutDuration)
-                          : executeAsynchronously(hidlRequest, hidlMeasure, hidlDeadline,
-                                                  hidlLoopTimeoutDuration);
+                          ? executeSynchronously(request, measure, deadline, loopTimeoutDuration)
+                          : executeAsynchronously(request, measure, deadline, loopTimeoutDuration);
     auto [outputShapes, timing] = NN_TRY(std::move(result));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -168,8 +183,10 @@
                              const nn::OptionalDuration& timeoutDurationAfterFence) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
     const auto hidlRequest = NN_TRY(convert(requestInShared));
     const auto hidlWaitFor = NN_TRY(hal::utils::convertSyncFences(waitFor));
@@ -178,27 +195,59 @@
     const auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
     const auto hidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
 
+    return executeFencedInternal(hidlRequest, hidlWaitFor, hidlMeasure, hidlDeadline,
+                                 hidlLoopTimeoutDuration, hidlTimeoutDurationAfterFence,
+                                 relocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+PreparedModel::executeFencedInternal(const Request& request, const hidl_vec<hidl_handle>& waitFor,
+                                     V1_2::MeasureTiming measure, const OptionalTimePoint& deadline,
+                                     const OptionalTimeoutDuration& loopTimeoutDuration,
+                                     const OptionalTimeoutDuration& timeoutDurationAfterFence,
+                                     const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
+
     auto cb = hal::utils::CallbackValue(fencedExecutionCallback);
 
-    const auto ret = kPreparedModel->executeFenced(hidlRequest, hidlWaitFor, hidlMeasure,
-                                                   hidlDeadline, hidlLoopTimeoutDuration,
-                                                   hidlTimeoutDurationAfterFence, cb);
+    const auto ret =
+            kPreparedModel->executeFenced(request, waitFor, measure, deadline, loopTimeoutDuration,
+                                          timeoutDurationAfterFence, cb);
     HANDLE_TRANSPORT_FAILURE(ret);
     auto [syncFence, callback] = NN_TRY(cb.take());
 
     // If executeFenced required the request memory to be moved into shared memory, block here until
     // the fenced execution has completed and flush the memory back.
-    if (maybeRequestInShared.has_value()) {
+    if (relocation.output) {
         const auto state = syncFence.syncWait({});
         if (state != nn::SyncFence::FenceState::SIGNALED) {
             return NN_ERROR() << "syncWait failed with " << state;
         }
-        NN_TRY(hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared));
+        relocation.output->flush();
     }
 
     return std::make_pair(std::move(syncFence), std::move(callback));
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    auto hidlRequest = NN_TRY(convert(requestInShared));
+    auto hidlMeasure = NN_TRY(convert(measure));
+    auto hidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
+    return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation),
+                             hidlMeasure, std::move(hidlLoopTimeoutDuration));
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     auto self = shared_from_this();
     auto fallback = [preparedModel = std::move(self)](
@@ -209,7 +258,7 @@
         return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
     };
     const auto pollingTimeWindow = V1_2::utils::getBurstControllerPollingTimeWindow();
-    return V1_2::utils::ExecutionBurstController::create(kPreparedModel, std::move(fallback),
+    return V1_2::utils::ExecutionBurstController::create(shared_from_this(), kPreparedModel,
                                                          pollingTimeWindow);
 }
 
diff --git a/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
index 5303c2a..6dbbd6b 100644
--- a/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
@@ -22,6 +22,7 @@
 #include <android/hardware/neuralnetworks/1.3/IFencedExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -462,6 +463,363 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
 }
 
+TEST(PreparedModelTest, reusableExecuteSync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously_1_3(_, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    Invoke(makeExecuteSynchronously(V1_3::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(
+                    makeExecuteSynchronously(V1_3::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeExecuteAsynchronously(
+                    V1_3::ErrorStatus::NONE, V1_3::ErrorStatus::NONE, {}, kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncLaunchError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(V1_3::ErrorStatus::GENERAL_FAILURE,
+                                                       V1_3::ErrorStatus::GENERAL_FAILURE, {},
+                                                       kNoTiming)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncReturnError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteAsynchronously(
+                    V1_3::ErrorStatus::NONE, V1_3::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
+
+    // run test
+    const auto result = preparedModel->execute({}, {}, {}, {});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteAsyncCrash) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/false).value();
+    const auto ret = [&mockPreparedModel]() -> hardware::Return<V1_3::ErrorStatus> {
+        mockPreparedModel->simulateCrash();
+        return V1_3::ErrorStatus::NONE;
+    };
+    EXPECT_CALL(*mockPreparedModel, execute_1_3(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(ret));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteFenced) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeExecuteFencedCallbackReturn(V1_3::ErrorStatus::NONE,
+                                                                   kNoTiming, kNoTiming)));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    Invoke(makeExecuteFencedReturn(V1_3::ErrorStatus::NONE, {}, mockCallback)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+        ASSERT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+        const auto& [syncFence, callback] = computeResult.value();
+        EXPECT_EQ(syncFence.syncWait({}), nn::SyncFence::FenceState::SIGNALED);
+        ASSERT_NE(callback, nullptr);
+
+        // get results from callback
+        const auto callbackResult = callback();
+        ASSERT_TRUE(callbackResult.has_value()) << "Failed with " << callbackResult.error().code
+                                                << ": " << callbackResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedCallbackError) {
+    // setup call
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteFencedCallbackReturn(V1_3::ErrorStatus::GENERAL_FAILURE,
+                                                             kNoTiming, kNoTiming)));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeExecuteFencedReturn(V1_3::ErrorStatus::NONE, {}, mockCallback)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code << ": "
+                                           << computeResult.error().message;
+    const auto& [syncFence, callback] = computeResult.value();
+    EXPECT_NE(syncFence.syncWait({}), nn::SyncFence::FenceState::ACTIVE);
+    ASSERT_NE(callback, nullptr);
+
+    // verify callback failure
+    const auto callbackResult = callback();
+    ASSERT_FALSE(callbackResult.has_value());
+    EXPECT_EQ(callbackResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedError) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(
+                    makeExecuteFencedReturn(V1_3::ErrorStatus::GENERAL_FAILURE, {}, nullptr)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedDeadObject) {
+    // setup test
+    const auto mockPreparedModel = createMockPreparedModel();
+    const auto preparedModel =
+            PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
index 008e4e4..0cc78d4 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
@@ -38,7 +38,7 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 
 // Class that adapts aidl_hal::IBurst to nn::IBurst.
-class Burst final : public nn::IBurst {
+class Burst final : public nn::IBurst, public std::enable_shared_from_this<Burst> {
     struct PrivateConstructorTag {};
 
   public:
@@ -100,6 +100,16 @@
             const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration) const override;
 
+    // See IBurst::createReusableExecution for information.
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const aidl_hal::Request& request, const std::vector<int64_t>& memoryIdentifierTokens,
+            bool measure, int64_t deadline, int64_t loopTimeoutDuration,
+            const hal::utils::RequestRelocation& relocation) const;
+
   private:
     mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
     const std::shared_ptr<aidl_hal::IBurst> kBurst;
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h
new file mode 100644
index 0000000..a77ea98
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Execution.h
@@ -0,0 +1,65 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_EXECUTION_H
+
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+
+#include "PreparedModel.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+class Execution final : public nn::IExecution, public std::enable_shared_from_this<Execution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const Execution>> create(
+            std::shared_ptr<const PreparedModel> preparedModel, Request request,
+            hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration);
+
+    Execution(PrivateConstructorTag tag, std::shared_ptr<const PreparedModel> preparedModel,
+              Request request, hal::utils::RequestRelocation relocation, bool measure,
+              int64_t loopTimeoutDuration);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const PreparedModel> kPreparedModel;
+    const Request kRequest;
+    const hal::utils::RequestRelocation kRelocation;
+    const bool kMeasure;
+    const int64_t kLoopTimeoutDuration;
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_EXECUTION_H
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
index abce6cc..4035764 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
@@ -18,6 +18,7 @@
 #define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_PREPARED_MODEL_H
 
 #include <aidl/android/hardware/neuralnetworks/IPreparedModel.h>
+#include <aidl/android/hardware/neuralnetworks/Request.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
@@ -34,7 +35,8 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 
 // Class that adapts aidl_hal::IPreparedModel to nn::IPreparedModel.
-class PreparedModel final : public nn::IPreparedModel {
+class PreparedModel final : public nn::IPreparedModel,
+                            public std::enable_shared_from_this<PreparedModel> {
     struct PrivateConstructorTag {};
 
   public:
@@ -55,10 +57,25 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executeInternal(
+            const Request& request, bool measure, int64_t deadline, int64_t loopTimeoutDuration,
+            const hal::utils::RequestRelocation& relocation) const;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+    executeFencedInternal(const Request& request,
+                          const std::vector<ndk::ScopedFileDescriptor>& waitFor, bool measure,
+                          int64_t deadline, int64_t loopTimeoutDuration,
+                          int64_t timeoutDurationAfterFence,
+                          const hal::utils::RequestRelocation& relocation) const;
+
   private:
     const std::shared_ptr<aidl_hal::IPreparedModel> kPreparedModel;
 };
diff --git a/neuralnetworks/aidl/utils/src/Burst.cpp b/neuralnetworks/aidl/utils/src/Burst.cpp
index 0b475bc..87cd0e4 100644
--- a/neuralnetworks/aidl/utils/src/Burst.cpp
+++ b/neuralnetworks/aidl/utils/src/Burst.cpp
@@ -22,6 +22,7 @@
 #include <android-base/logging.h>
 #include <android/binder_auto_utils.h>
 #include <nnapi/IBurst.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/Result.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -35,6 +36,39 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 namespace {
 
+class BurstExecution final : public nn::IExecution,
+                             public std::enable_shared_from_this<BurstExecution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    static nn::GeneralResult<std::shared_ptr<const BurstExecution>> create(
+            std::shared_ptr<const Burst> burst, Request request,
+            std::vector<int64_t> memoryIdentifierTokens, bool measure, int64_t loopTimeoutDuration,
+            hal::utils::RequestRelocation relocation,
+            std::vector<Burst::OptionalCacheHold> cacheHolds);
+
+    BurstExecution(PrivateConstructorTag tag, std::shared_ptr<const Burst> burst, Request request,
+                   std::vector<int64_t> memoryIdentifierTokens, bool measure,
+                   int64_t loopTimeoutDuration, hal::utils::RequestRelocation relocation,
+                   std::vector<Burst::OptionalCacheHold> cacheHolds);
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    const std::shared_ptr<const Burst> kBurst;
+    const Request kRequest;
+    const std::vector<int64_t>& kMemoryIdentifierTokens;
+    const bool kMeasure;
+    const int64_t kLoopTimeoutDuration;
+    const hal::utils::RequestRelocation kRelocation;
+    const std::vector<Burst::OptionalCacheHold> kCacheHolds;
+};
+
 nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> convertExecutionResults(
         const std::vector<OutputShape>& outputShapes, const Timing& timing) {
     return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
@@ -139,17 +173,13 @@
         const nn::Request& request, nn::MeasureTiming measure,
         const nn::OptionalTimePoint& deadline,
         const nn::OptionalDuration& loopTimeoutDuration) const {
-    // Ensure that at most one execution is in flight at any given time.
-    const bool alreadyInFlight = mExecutionInFlight.test_and_set();
-    if (alreadyInFlight) {
-        return NN_ERROR() << "IBurst already has an execution in flight";
-    }
-    const auto guard = ::android::base::make_scope_guard([this] { mExecutionInFlight.clear(); });
-
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
 
     const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
@@ -159,9 +189,9 @@
 
     std::vector<int64_t> memoryIdentifierTokens;
     std::vector<OptionalCacheHold> holds;
-    memoryIdentifierTokens.reserve(request.pools.size());
-    holds.reserve(request.pools.size());
-    for (const auto& memoryPool : request.pools) {
+    memoryIdentifierTokens.reserve(requestInShared.pools.size());
+    holds.reserve(requestInShared.pools.size());
+    for (const auto& memoryPool : requestInShared.pools) {
         if (const auto* memory = std::get_if<nn::SharedMemory>(&memoryPool)) {
             if (auto cached = kMemoryCache->getMemoryIfAvailable(*memory)) {
                 auto& [identifier, hold] = *cached;
@@ -172,12 +202,30 @@
         }
         memoryIdentifierTokens.push_back(-1);
     }
-    CHECK_EQ(request.pools.size(), memoryIdentifierTokens.size());
+    CHECK_EQ(requestInShared.pools.size(), memoryIdentifierTokens.size());
+
+    return executeInternal(aidlRequest, memoryIdentifierTokens, aidlMeasure, aidlDeadline,
+                           aidlLoopTimeoutDuration, relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::executeInternal(
+        const Request& request, const std::vector<int64_t>& memoryIdentifierTokens, bool measure,
+        int64_t deadline, int64_t loopTimeoutDuration,
+        const hal::utils::RequestRelocation& relocation) const {
+    // Ensure that at most one execution is in flight at any given time.
+    const bool alreadyInFlight = mExecutionInFlight.test_and_set();
+    if (alreadyInFlight) {
+        return NN_ERROR() << "IBurst already has an execution in flight";
+    }
+    const auto guard = ::android::base::make_scope_guard([this] { mExecutionInFlight.clear(); });
+
+    if (relocation.input) {
+        relocation.input->flush();
+    }
 
     ExecutionResult executionResult;
-    const auto ret =
-            kBurst->executeSynchronously(aidlRequest, memoryIdentifierTokens, aidlMeasure,
-                                         aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
+    const auto ret = kBurst->executeSynchronously(request, memoryIdentifierTokens, measure,
+                                                  deadline, loopTimeoutDuration, &executionResult);
     HANDLE_ASTATUS(ret) << "execute failed";
     if (!executionResult.outputSufficientSize) {
         auto canonicalOutputShapes =
@@ -188,10 +236,89 @@
     auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
             convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
+nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    auto aidlRequest = NN_TRY(convert(requestInShared));
+    const auto aidlMeasure = NN_TRY(convert(measure));
+    const auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
+
+    std::vector<int64_t> memoryIdentifierTokens;
+    std::vector<OptionalCacheHold> holds;
+    memoryIdentifierTokens.reserve(requestInShared.pools.size());
+    holds.reserve(requestInShared.pools.size());
+    for (const auto& memoryPool : requestInShared.pools) {
+        if (const auto* memory = std::get_if<nn::SharedMemory>(&memoryPool)) {
+            if (auto cached = kMemoryCache->getMemoryIfAvailable(*memory)) {
+                auto& [identifier, hold] = *cached;
+                memoryIdentifierTokens.push_back(identifier);
+                holds.push_back(std::move(hold));
+                continue;
+            }
+        }
+        memoryIdentifierTokens.push_back(-1);
+    }
+    CHECK_EQ(requestInShared.pools.size(), memoryIdentifierTokens.size());
+
+    return BurstExecution::create(shared_from_this(), std::move(aidlRequest),
+                                  std::move(memoryIdentifierTokens), aidlMeasure,
+                                  aidlLoopTimeoutDuration, std::move(relocation), std::move(holds));
+}
+
+nn::GeneralResult<std::shared_ptr<const BurstExecution>> BurstExecution::create(
+        std::shared_ptr<const Burst> burst, Request request,
+        std::vector<int64_t> memoryIdentifierTokens, bool measure, int64_t loopTimeoutDuration,
+        hal::utils::RequestRelocation relocation,
+        std::vector<Burst::OptionalCacheHold> cacheHolds) {
+    if (burst == nullptr) {
+        return NN_ERROR() << "aidl::utils::BurstExecution::create must have non-null burst";
+    }
+
+    return std::make_shared<const BurstExecution>(
+            PrivateConstructorTag{}, std::move(burst), std::move(request),
+            std::move(memoryIdentifierTokens), measure, loopTimeoutDuration, std::move(relocation),
+            std::move(cacheHolds));
+}
+
+BurstExecution::BurstExecution(PrivateConstructorTag /*tag*/, std::shared_ptr<const Burst> burst,
+                               Request request, std::vector<int64_t> memoryIdentifierTokens,
+                               bool measure, int64_t loopTimeoutDuration,
+                               hal::utils::RequestRelocation relocation,
+                               std::vector<Burst::OptionalCacheHold> cacheHolds)
+    : kBurst(std::move(burst)),
+      kRequest(std::move(request)),
+      kMemoryIdentifierTokens(std::move(memoryIdentifierTokens)),
+      kMeasure(measure),
+      kLoopTimeoutDuration(loopTimeoutDuration),
+      kRelocation(std::move(relocation)),
+      kCacheHolds(std::move(cacheHolds)) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> BurstExecution::compute(
+        const nn::OptionalTimePoint& deadline) const {
+    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    return kBurst->executeInternal(kRequest, kMemoryIdentifierTokens, kMeasure, aidlDeadline,
+                                   kLoopTimeoutDuration, kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+BurstExecution::computeFenced(const std::vector<nn::SyncFence>& /*waitFor*/,
+                              const nn::OptionalTimePoint& /*deadline*/,
+                              const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+           << "IExecution::computeFenced is not supported on burst object";
+}
+
 }  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/Execution.cpp b/neuralnetworks/aidl/utils/src/Execution.cpp
new file mode 100644
index 0000000..2aee8a6
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Execution.cpp
@@ -0,0 +1,79 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Execution.h"
+
+#include "Conversions.h"
+#include "PreparedModel.h"
+#include "Utils.h"
+
+#include <aidl/android/hardware/neuralnetworks/Request.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
+// lifetimes across processes and for protecting asynchronous calls across HIDL.
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
+        std::shared_ptr<const PreparedModel> preparedModel, Request request,
+        hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration) {
+    if (preparedModel == nullptr) {
+        return NN_ERROR() << "aidl::utils::Execution::create must have non-null preparedModel";
+    }
+
+    return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel),
+                                             std::move(request), std::move(relocation), measure,
+                                             loopTimeoutDuration);
+}
+
+Execution::Execution(PrivateConstructorTag /*tag*/,
+                     std::shared_ptr<const PreparedModel> preparedModel, Request request,
+                     hal::utils::RequestRelocation relocation, bool measure,
+                     int64_t loopTimeoutDuration)
+    : kPreparedModel(std::move(preparedModel)),
+      kRequest(std::move(request)),
+      kRelocation(std::move(relocation)),
+      kMeasure(measure),
+      kLoopTimeoutDuration(loopTimeoutDuration) {}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute(
+        const nn::OptionalTimePoint& deadline) const {
+    const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+    return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration,
+                                           kRelocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced(
+        const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+        const nn::OptionalDuration& timeoutDurationAfterFence) const {
+    const auto aidlWaitFor = NN_TRY(convert(waitFor));
+    const auto aidlDeadline = NN_TRY(convert(deadline));
+    const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return kPreparedModel->executeFencedInternal(kRequest, aidlWaitFor, kMeasure, aidlDeadline,
+                                                 kLoopTimeoutDuration,
+                                                 aidlTimeoutDurationAfterFence, kRelocation);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/PreparedModel.cpp b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
index 003965b..18e7636 100644
--- a/neuralnetworks/aidl/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
@@ -19,8 +19,11 @@
 #include "Burst.h"
 #include "Callbacks.h"
 #include "Conversions.h"
+#include "Execution.h"
+#include "ProtectCallback.h"
 #include "Utils.h"
 
+#include <aidl/android/hardware/neuralnetworks/Request.h>
 #include <android/binder_auto_utils.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
@@ -74,18 +77,32 @@
         const nn::OptionalDuration& loopTimeoutDuration) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared =
+            NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
+                    &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+                    &maybeRequestInShared, &relocation)));
 
     const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
     const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
     const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
     const auto aidlLoopTimeoutDuration =
             NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+    return executeInternal(aidlRequest, aidlMeasure, aidlDeadline, aidlLoopTimeoutDuration,
+                           relocation);
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+PreparedModel::executeInternal(const Request& request, bool measure, int64_t deadline,
+                               int64_t loopTimeoutDuration,
+                               const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
 
     ExecutionResult executionResult;
-    const auto ret = kPreparedModel->executeSynchronously(
-            aidlRequest, aidlMeasure, aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
+    const auto ret = kPreparedModel->executeSynchronously(request, measure, deadline,
+                                                          loopTimeoutDuration, &executionResult);
     HANDLE_ASTATUS(ret) << "executeSynchronously failed";
     if (!executionResult.outputSufficientSize) {
         auto canonicalOutputShapes =
@@ -96,9 +113,9 @@
     auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
             convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
 
-    NN_TRY(hal::utils::makeExecutionFailure(
-            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
-
+    if (relocation.output) {
+        relocation.output->flush();
+    }
     return std::make_pair(std::move(outputShapes), timing);
 }
 
@@ -109,8 +126,10 @@
                              const nn::OptionalDuration& timeoutDurationAfterFence) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
-    const nn::Request& requestInShared =
-            NN_TRY(hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared));
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+            &maybeRequestInShared, &relocation));
 
     const auto aidlRequest = NN_TRY(convert(requestInShared));
     const auto aidlWaitFor = NN_TRY(convert(waitFor));
@@ -118,11 +137,25 @@
     const auto aidlDeadline = NN_TRY(convert(deadline));
     const auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
     const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
+    return executeFencedInternal(aidlRequest, aidlWaitFor, aidlMeasure, aidlDeadline,
+                                 aidlLoopTimeoutDuration, aidlTimeoutDurationAfterFence,
+                                 relocation);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+PreparedModel::executeFencedInternal(const Request& request,
+                                     const std::vector<ndk::ScopedFileDescriptor>& waitFor,
+                                     bool measure, int64_t deadline, int64_t loopTimeoutDuration,
+                                     int64_t timeoutDurationAfterFence,
+                                     const hal::utils::RequestRelocation& relocation) const {
+    if (relocation.input) {
+        relocation.input->flush();
+    }
 
     FencedExecutionResult result;
-    const auto ret = kPreparedModel->executeFenced(aidlRequest, aidlWaitFor, aidlMeasure,
-                                                   aidlDeadline, aidlLoopTimeoutDuration,
-                                                   aidlTimeoutDurationAfterFence, &result);
+    const auto ret =
+            kPreparedModel->executeFenced(request, waitFor, measure, deadline, loopTimeoutDuration,
+                                          timeoutDurationAfterFence, &result);
     HANDLE_ASTATUS(ret) << "executeFenced failed";
 
     auto resultSyncFence = nn::SyncFence::createAsSignaled();
@@ -137,12 +170,12 @@
 
     // If executeFenced required the request memory to be moved into shared memory, block here until
     // the fenced execution has completed and flush the memory back.
-    if (maybeRequestInShared.has_value()) {
+    if (relocation.output) {
         const auto state = resultSyncFence.syncWait({});
         if (state != nn::SyncFence::FenceState::SIGNALED) {
             return NN_ERROR() << "syncWait failed with " << state;
         }
-        NN_TRY(hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared));
+        relocation.output->flush();
     }
 
     // Create callback which can be used to retrieve the execution error status and timings.
@@ -159,6 +192,23 @@
     return std::make_pair(std::move(resultSyncFence), std::move(resultCallback));
 }
 
+nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    // Ensure that request is ready for IPC.
+    std::optional<nn::Request> maybeRequestInShared;
+    hal::utils::RequestRelocation relocation;
+    const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
+            &request, nn::kDefaultRequestMemoryAlignment, nn::kDefaultRequestMemoryPadding,
+            &maybeRequestInShared, &relocation));
+
+    auto aidlRequest = NN_TRY(convert(requestInShared));
+    auto aidlMeasure = NN_TRY(convert(measure));
+    auto aidlLoopTimeoutDuration = NN_TRY(convert(loopTimeoutDuration));
+    return Execution::create(shared_from_this(), std::move(aidlRequest), std::move(relocation),
+                             aidlMeasure, aidlLoopTimeoutDuration);
+}
+
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
     std::shared_ptr<IBurst> burst;
     const auto ret = kPreparedModel->configureExecutionBurst(&burst);
diff --git a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
index ff98a7d..8bb5c90 100644
--- a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
@@ -21,6 +21,7 @@
 #include <aidl/android/hardware/neuralnetworks/IFencedExecutionCallback.h>
 #include <gmock/gmock.h>
 #include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
 #include <nnapi/IPreparedModel.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -253,6 +254,225 @@
     EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
 }
 
+TEST(PreparedModelTest, reusableExecuteSync) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockExecutionResult = ExecutionResult{
+            .outputSufficientSize = true,
+            .outputShapes = {},
+            .timing = kNoTiming,
+    };
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(
+                    DoAll(SetArgPointee<4>(mockExecutionResult), InvokeWithoutArgs(makeStatusOk)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->compute({});
+        EXPECT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncError) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeGeneralFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteSyncDeadObject) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeSynchronously(_, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->compute({});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(PreparedModelTest, reusableExecuteFenced) {
+    // setup call
+    const uint32_t kNumberOfComputations = 2;
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(DoAll(SetArgPointee<0>(kNoTiming), SetArgPointee<1>(kNoTiming),
+                                  SetArgPointee<2>(ErrorStatus::NONE), Invoke(makeStatusOk)));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(kNumberOfComputations)
+            .WillRepeatedly(Invoke(makeFencedExecutionResult(mockCallback)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute repeatedly
+    for (uint32_t i = 0; i < kNumberOfComputations; i++) {
+        const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+        ASSERT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code
+                                               << ": " << computeResult.error().message;
+        const auto& [syncFence, callback] = computeResult.value();
+        EXPECT_EQ(syncFence.syncWait({}), nn::SyncFence::FenceState::SIGNALED);
+        ASSERT_NE(callback, nullptr);
+
+        // get results from callback
+        const auto callbackResult = callback();
+        ASSERT_TRUE(callbackResult.has_value()) << "Failed with " << callbackResult.error().code
+                                                << ": " << callbackResult.error().message;
+    }
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedCallbackError) {
+    // setup call
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    const auto mockCallback = MockFencedExecutionCallback::create();
+    EXPECT_CALL(*mockCallback, getExecutionInfo(_, _, _))
+            .Times(1)
+            .WillOnce(Invoke(DoAll(SetArgPointee<0>(kNoTiming), SetArgPointee<1>(kNoTiming),
+                                   SetArgPointee<2>(ErrorStatus::GENERAL_FAILURE),
+                                   Invoke(makeStatusOk))));
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(Invoke(makeFencedExecutionResult(mockCallback)));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_TRUE(computeResult.has_value()) << "Failed with " << computeResult.error().code << ": "
+                                           << computeResult.error().message;
+    const auto& [syncFence, callback] = computeResult.value();
+    EXPECT_NE(syncFence.syncWait({}), nn::SyncFence::FenceState::ACTIVE);
+    ASSERT_NE(callback, nullptr);
+
+    // verify callback failure
+    const auto callbackResult = callback();
+    ASSERT_FALSE(callbackResult.has_value());
+    EXPECT_EQ(callbackResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedError) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, reusableExecuteFencedDeadObject) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+    EXPECT_CALL(*mockPreparedModel, executeFenced(_, _, _, _, _, _, _))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+    // create execution
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    ASSERT_TRUE(createResult.has_value())
+            << "Failed with " << createResult.error().code << ": " << createResult.error().message;
+    ASSERT_NE(createResult.value(), nullptr);
+
+    // invoke compute
+    const auto computeResult = createResult.value()->computeFenced({}, {}, {});
+    ASSERT_FALSE(computeResult.has_value());
+    EXPECT_EQ(computeResult.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
index 8fe6b90..702ee92 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
@@ -20,6 +20,7 @@
 #include <cutils/native_handle.h>
 #include <hidl/HidlSupport.h>
 #include <nnapi/Result.h>
+#include <nnapi/SharedMemory.h>
 #include <nnapi/Types.h>
 #include <functional>
 #include <vector>
@@ -59,19 +60,70 @@
 nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
         const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut);
 
+// Record a relocation mapping between pointer-based data and shared memory.
+// Only two specializations of this template may exist:
+// - RelocationInfo<const void*> for request inputs
+// - RelocationInfo<void*> for request outputs
+template <typename PointerType>
+struct RelocationInfo {
+    PointerType data;
+    size_t length;
+    size_t offset;
+};
+using InputRelocationInfo = RelocationInfo<const void*>;
+using OutputRelocationInfo = RelocationInfo<void*>;
+
+// Keep track of the relocation mapping between pointer-based data and shared memory pool,
+// and provide method to copy the data between pointers and the shared memory pool.
+// Only two specializations of this template may exist:
+// - RelocationTracker<InputRelocationInfo> for request inputs
+// - RelocationTracker<OutputRelocationInfo> for request outputs
+template <typename RelocationInfoType>
+class RelocationTracker {
+  public:
+    static nn::GeneralResult<std::unique_ptr<RelocationTracker>> create(
+            std::vector<RelocationInfoType> relocationInfos, nn::SharedMemory memory) {
+        auto mapping = NN_TRY(map(memory));
+        return std::make_unique<RelocationTracker<RelocationInfoType>>(
+                std::move(relocationInfos), std::move(memory), std::move(mapping));
+    }
+
+    RelocationTracker(std::vector<RelocationInfoType> relocationInfos, nn::SharedMemory memory,
+                      nn::Mapping mapping)
+        : kRelocationInfos(std::move(relocationInfos)),
+          kMemory(std::move(memory)),
+          kMapping(std::move(mapping)) {}
+
+    // Specializations defined in CommonUtils.cpp.
+    // For InputRelocationTracker, this method will copy pointer data to the shared memory pool.
+    // For OutputRelocationTracker, this method will copy shared memory data to the pointers.
+    void flush() const;
+
+  private:
+    const std::vector<RelocationInfoType> kRelocationInfos;
+    const nn::SharedMemory kMemory;
+    const nn::Mapping kMapping;
+};
+using InputRelocationTracker = RelocationTracker<InputRelocationInfo>;
+using OutputRelocationTracker = RelocationTracker<OutputRelocationInfo>;
+
+struct RequestRelocation {
+    std::unique_ptr<InputRelocationTracker> input;
+    std::unique_ptr<OutputRelocationTracker> output;
+};
+
 // Relocate pointer-based data to shared memory. If `request` has no
 // Request::Argument::LifeTime::POINTER data, the function returns with a reference to `request`. If
 // `request` has Request::Argument::LifeTime::POINTER data, the request is copied to
 // `maybeRequestInSharedOut` with the POINTER data relocated to a memory pool, and the function
-// returns with a reference to `*maybeRequestInSharedOut`.
-nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
-        const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut);
-
-// Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
-// `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
-// Request object back to the output pointer-based memory in the original Request object.
-nn::GeneralResult<void> unflushDataFromSharedToPointer(
-        const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared);
+// returns with a reference to `*maybeRequestInSharedOut`. The `relocationOut` will be set to track
+// the input and output relocations.
+//
+// Unlike `flushDataFromPointerToShared`, this method will not copy the input pointer data to the
+// shared memory pool. Use `relocationOut` to flush the input or output data after the call.
+nn::GeneralResult<std::reference_wrapper<const nn::Request>> convertRequestFromPointerToShared(
+        const nn::Request* request, uint32_t alignment, uint32_t padding,
+        std::optional<nn::Request>* maybeRequestInSharedOut, RequestRelocation* relocationOut);
 
 nn::GeneralResult<std::vector<uint32_t>> countNumberOfConsumers(
         size_t numberOfOperands, const std::vector<nn::Operation>& operations);
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h b/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
index 17b3fd9..e86edda 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
@@ -35,6 +35,10 @@
             const nn::Request& request, nn::MeasureTiming measure,
             const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration) const override;
+
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
 };
 
 }  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/InvalidExecution.h b/neuralnetworks/utils/common/include/nnapi/hal/InvalidExecution.h
new file mode 100644
index 0000000..5b00221
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/InvalidExecution.h
@@ -0,0 +1,41 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_INVALID_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_INVALID_EXECUTION_H
+
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class InvalidExecution final : public nn::IExecution {
+  public:
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_INVALID_EXECUTION_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/InvalidPreparedModel.h b/neuralnetworks/utils/common/include/nnapi/hal/InvalidPreparedModel.h
index 3e1dca7..de30aae 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/InvalidPreparedModel.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/InvalidPreparedModel.h
@@ -40,6 +40,10 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
index c92cc41..fde2486 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
@@ -51,7 +51,16 @@
             const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
   private:
+    bool isValidInternal() const EXCLUDES(mMutex);
+    nn::GeneralResult<nn::SharedExecution> createReusableExecutionInternal(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const;
+
     const Factory kMakeBurst;
     mutable std::mutex mMutex;
     mutable nn::SharedBurst mBurst GUARDED_BY(mMutex);
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientExecution.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientExecution.h
new file mode 100644
index 0000000..d0084e8
--- /dev/null
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientExecution.h
@@ -0,0 +1,66 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_EXECUTION_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_EXECUTION_H
+
+#include <android-base/thread_annotations.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+class ResilientExecution final : public nn::IExecution,
+                                 public std::enable_shared_from_this<ResilientExecution> {
+    struct PrivateConstructorTag {};
+
+  public:
+    using Factory = std::function<nn::GeneralResult<nn::SharedExecution>()>;
+
+    static nn::GeneralResult<std::shared_ptr<const ResilientExecution>> create(
+            Factory makeExecution);
+
+    ResilientExecution(PrivateConstructorTag tag, Factory makeExecution,
+                       nn::SharedExecution execution);
+
+    nn::SharedExecution getExecution() const;
+    nn::GeneralResult<nn::SharedExecution> recover(const nn::IExecution* failingExecution) const;
+
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
+            const nn::OptionalTimePoint& deadline) const override;
+
+    nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> computeFenced(
+            const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+
+  private:
+    bool isValidInternal() const EXCLUDES(mMutex);
+
+    const Factory kMakeExecution;
+    mutable std::mutex mMutex;
+    mutable nn::SharedExecution mExecution GUARDED_BY(mMutex);
+};
+
+}  // namespace android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_RESILIENT_EXECUTION_H
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h
index a6c1b19..86533ed 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientPreparedModel.h
@@ -58,12 +58,19 @@
             const nn::OptionalDuration& loopTimeoutDuration,
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
+    nn::GeneralResult<nn::SharedExecution> createReusableExecution(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
     std::any getUnderlyingResource() const override;
 
   private:
     bool isValidInternal() const EXCLUDES(mMutex);
+    nn::GeneralResult<nn::SharedExecution> createReusableExecutionInternal(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalDuration& loopTimeoutDuration) const;
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurstInternal() const;
 
     const Factory kMakePreparedModel;
diff --git a/neuralnetworks/utils/common/src/CommonUtils.cpp b/neuralnetworks/utils/common/src/CommonUtils.cpp
index 4d26795..8e55bf0 100644
--- a/neuralnetworks/utils/common/src/CommonUtils.cpp
+++ b/neuralnetworks/utils/common/src/CommonUtils.cpp
@@ -200,10 +200,31 @@
     return **maybeModelInSharedOut;
 }
 
-nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
-        const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut) {
+template <>
+void InputRelocationTracker::flush() const {
+    // Copy from pointers to shared memory.
+    uint8_t* memoryPtr = static_cast<uint8_t*>(std::get<void*>(kMapping.pointer));
+    for (const auto& [data, length, offset] : kRelocationInfos) {
+        std::memcpy(memoryPtr + offset, data, length);
+    }
+}
+
+template <>
+void OutputRelocationTracker::flush() const {
+    // Copy from shared memory to pointers.
+    const uint8_t* memoryPtr = static_cast<const uint8_t*>(
+            std::visit([](auto ptr) { return static_cast<const void*>(ptr); }, kMapping.pointer));
+    for (const auto& [data, length, offset] : kRelocationInfos) {
+        std::memcpy(data, memoryPtr + offset, length);
+    }
+}
+
+nn::GeneralResult<std::reference_wrapper<const nn::Request>> convertRequestFromPointerToShared(
+        const nn::Request* request, uint32_t alignment, uint32_t padding,
+        std::optional<nn::Request>* maybeRequestInSharedOut, RequestRelocation* relocationOut) {
     CHECK(request != nullptr);
     CHECK(maybeRequestInSharedOut != nullptr);
+    CHECK(relocationOut != nullptr);
 
     if (hasNoPointerData(*request)) {
         return *request;
@@ -213,8 +234,11 @@
     // to the caller through `maybeRequestInSharedOut` if the function succeeds.
     nn::Request requestInShared = *request;
 
+    RequestRelocation relocation;
+
     // Change input pointers to shared memory.
-    nn::ConstantMemoryBuilder inputBuilder(requestInShared.pools.size());
+    nn::MutableMemoryBuilder inputBuilder(requestInShared.pools.size());
+    std::vector<InputRelocationInfo> inputRelocationInfos;
     for (auto& input : requestInShared.inputs) {
         const auto& location = input.location;
         if (input.lifetime != nn::Request::Argument::LifeTime::POINTER) {
@@ -225,17 +249,21 @@
         const void* data = std::visit([](auto ptr) { return static_cast<const void*>(ptr); },
                                       location.pointer);
         CHECK(data != nullptr);
-        input.location = inputBuilder.append(data, location.length);
+        input.location = inputBuilder.append(location.length, alignment, padding);
+        inputRelocationInfos.push_back({data, input.location.length, input.location.offset});
     }
 
     // Allocate input memory.
     if (!inputBuilder.empty()) {
         auto memory = NN_TRY(inputBuilder.finish());
-        requestInShared.pools.push_back(std::move(memory));
+        requestInShared.pools.push_back(memory);
+        relocation.input = NN_TRY(
+                InputRelocationTracker::create(std::move(inputRelocationInfos), std::move(memory)));
     }
 
     // Change output pointers to shared memory.
     nn::MutableMemoryBuilder outputBuilder(requestInShared.pools.size());
+    std::vector<OutputRelocationInfo> outputRelocationInfos;
     for (auto& output : requestInShared.outputs) {
         const auto& location = output.location;
         if (output.lifetime != nn::Request::Argument::LifeTime::POINTER) {
@@ -243,62 +271,25 @@
         }
 
         output.lifetime = nn::Request::Argument::LifeTime::POOL;
-        output.location = outputBuilder.append(location.length);
+        void* data = std::get<void*>(location.pointer);
+        CHECK(data != nullptr);
+        output.location = outputBuilder.append(location.length, alignment, padding);
+        outputRelocationInfos.push_back({data, output.location.length, output.location.offset});
     }
 
     // Allocate output memory.
     if (!outputBuilder.empty()) {
         auto memory = NN_TRY(outputBuilder.finish());
-        requestInShared.pools.push_back(std::move(memory));
+        requestInShared.pools.push_back(memory);
+        relocation.output = NN_TRY(OutputRelocationTracker::create(std::move(outputRelocationInfos),
+                                                                   std::move(memory)));
     }
 
     *maybeRequestInSharedOut = requestInShared;
+    *relocationOut = std::move(relocation);
     return **maybeRequestInSharedOut;
 }
 
-nn::GeneralResult<void> unflushDataFromSharedToPointer(
-        const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared) {
-    if (!maybeRequestInShared.has_value() || maybeRequestInShared->pools.empty() ||
-        !std::holds_alternative<nn::SharedMemory>(maybeRequestInShared->pools.back())) {
-        return {};
-    }
-    const auto& requestInShared = *maybeRequestInShared;
-
-    // Map the memory.
-    const auto& outputMemory = std::get<nn::SharedMemory>(requestInShared.pools.back());
-    const auto [pointer, size, context] = NN_TRY(map(outputMemory));
-    const uint8_t* constantPointer =
-            std::visit([](const auto& o) { return static_cast<const uint8_t*>(o); }, pointer);
-
-    // Flush each output pointer.
-    CHECK_EQ(request.outputs.size(), requestInShared.outputs.size());
-    for (size_t i = 0; i < request.outputs.size(); ++i) {
-        const auto& location = request.outputs[i].location;
-        const auto& locationInShared = requestInShared.outputs[i].location;
-        if (!std::holds_alternative<void*>(location.pointer)) {
-            continue;
-        }
-
-        // Get output pointer and size.
-        void* data = std::get<void*>(location.pointer);
-        CHECK(data != nullptr);
-        const size_t length = location.length;
-
-        // Get output pool location.
-        CHECK(requestInShared.outputs[i].lifetime == nn::Request::Argument::LifeTime::POOL);
-        const size_t index = locationInShared.poolIndex;
-        const size_t offset = locationInShared.offset;
-        const size_t outputPoolIndex = requestInShared.pools.size() - 1;
-        CHECK(locationInShared.length == length);
-        CHECK(index == outputPoolIndex);
-
-        // Flush memory.
-        std::memcpy(data, constantPointer + offset, length);
-    }
-
-    return {};
-}
-
 nn::GeneralResult<std::vector<uint32_t>> countNumberOfConsumers(
         size_t numberOfOperands, const std::vector<nn::Operation>& operations) {
     return makeGeneralFailure(nn::countNumberOfConsumers(numberOfOperands, operations));
diff --git a/neuralnetworks/utils/common/src/InvalidBurst.cpp b/neuralnetworks/utils/common/src/InvalidBurst.cpp
index 0c34f05..0191533 100644
--- a/neuralnetworks/utils/common/src/InvalidBurst.cpp
+++ b/neuralnetworks/utils/common/src/InvalidBurst.cpp
@@ -38,4 +38,10 @@
     return NN_ERROR() << "InvalidBurst";
 }
 
+nn::GeneralResult<nn::SharedExecution> InvalidBurst::createReusableExecution(
+        const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    return NN_ERROR() << "InvalidBurst";
+}
+
 }  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/InvalidExecution.cpp b/neuralnetworks/utils/common/src/InvalidExecution.cpp
new file mode 100644
index 0000000..c4edd25
--- /dev/null
+++ b/neuralnetworks/utils/common/src/InvalidExecution.cpp
@@ -0,0 +1,40 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "InvalidExecution.h"
+
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> InvalidExecution::compute(
+        const nn::OptionalTimePoint& /*deadline*/) const {
+    return NN_ERROR() << "InvalidExecution";
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+InvalidExecution::computeFenced(const std::vector<nn::SyncFence>& /*waitFor*/,
+                                const nn::OptionalTimePoint& /*deadline*/,
+                                const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+    return NN_ERROR() << "InvalidExecution";
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp b/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
index 9081e1f..8195462 100644
--- a/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
+++ b/neuralnetworks/utils/common/src/InvalidPreparedModel.cpp
@@ -42,6 +42,12 @@
     return NN_ERROR() << "InvalidPreparedModel";
 }
 
+nn::GeneralResult<nn::SharedExecution> InvalidPreparedModel::createReusableExecution(
+        const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+    return NN_ERROR() << "InvalidPreparedModel";
+}
+
 nn::GeneralResult<nn::SharedBurst> InvalidPreparedModel::configureExecutionBurst() const {
     return NN_ERROR() << "InvalidPreparedModel";
 }
diff --git a/neuralnetworks/utils/common/src/ResilientBurst.cpp b/neuralnetworks/utils/common/src/ResilientBurst.cpp
index 38ccc62..79cbe39 100644
--- a/neuralnetworks/utils/common/src/ResilientBurst.cpp
+++ b/neuralnetworks/utils/common/src/ResilientBurst.cpp
@@ -19,6 +19,7 @@
 #include <android-base/logging.h>
 #include <android-base/thread_annotations.h>
 #include <nnapi/IBurst.h>
+#include <nnapi/IPreparedModel.h>
 #include <nnapi/Result.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
@@ -29,6 +30,9 @@
 #include <optional>
 #include <utility>
 
+#include "InvalidExecution.h"
+#include "ResilientExecution.h"
+
 namespace android::hardware::neuralnetworks::utils {
 namespace {
 
@@ -46,11 +50,11 @@
     // Attempt recovery and return if it fails.
     auto maybeBurst = resilientBurst.recover(burst.get());
     if (!maybeBurst.has_value()) {
-        auto [resultErrorMessage, resultErrorCode, resultOutputShapes] = std::move(result).error();
-        const auto& [recoveryErrorMessage, recoveryErrorCode] = maybeBurst.error();
-        return nn::error(resultErrorCode, std::move(resultOutputShapes))
-               << resultErrorMessage << ", and failed to recover dead burst object with error "
-               << recoveryErrorCode << ": " << recoveryErrorMessage;
+        const auto& [message, code] = maybeBurst.error();
+        std::ostringstream oss;
+        oss << ", and failed to recover dead burst object with error " << code << ": " << message;
+        result.error().message += oss.str();
+        return result;
     }
     burst = std::move(maybeBurst).value();
 
@@ -109,4 +113,35 @@
     return protect(*this, fn);
 }
 
+nn::GeneralResult<nn::SharedExecution> ResilientBurst::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+#if 0
+    auto self = shared_from_this();
+    ResilientExecution::Factory makeExecution =
+            [burst = std::move(self), request, measure, loopTimeoutDuration] {
+        return burst->createReusableExecutionInternal(request, measure, loopTimeoutDuration);
+    };
+    return ResilientExecution::create(std::move(makeExecution));
+#else
+    return createReusableExecutionInternal(request, measure, loopTimeoutDuration);
+#endif
+}
+
+nn::GeneralResult<nn::SharedExecution> ResilientBurst::createReusableExecutionInternal(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    if (!isValidInternal()) {
+        return std::make_shared<const InvalidExecution>();
+    }
+    const auto fn = [&request, measure, &loopTimeoutDuration](const nn::IBurst& burst) {
+        return burst.createReusableExecution(request, measure, loopTimeoutDuration);
+    };
+    return protect(*this, fn);
+}
+
+bool ResilientBurst::isValidInternal() const {
+    return true;
+}
+
 }  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientExecution.cpp b/neuralnetworks/utils/common/src/ResilientExecution.cpp
new file mode 100644
index 0000000..46b404a
--- /dev/null
+++ b/neuralnetworks/utils/common/src/ResilientExecution.cpp
@@ -0,0 +1,126 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "ResilientExecution.h"
+
+#include "InvalidBurst.h"
+#include "ResilientBurst.h"
+
+#include <android-base/logging.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IExecution.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+
+#include <functional>
+#include <memory>
+#include <mutex>
+#include <sstream>
+#include <utility>
+#include <vector>
+
+namespace android::hardware::neuralnetworks::utils {
+namespace {
+
+template <typename FnType>
+auto protect(const ResilientExecution& resilientExecution, const FnType& fn)
+        -> decltype(fn(*resilientExecution.getExecution())) {
+    auto execution = resilientExecution.getExecution();
+    auto result = fn(*execution);
+
+    // Immediately return if prepared model is not dead.
+    if (result.has_value() || result.error().code != nn::ErrorStatus::DEAD_OBJECT) {
+        return result;
+    }
+
+    // Attempt recovery and return if it fails.
+    auto maybeExecution = resilientExecution.recover(execution.get());
+    if (!maybeExecution.has_value()) {
+        const auto& [message, code] = maybeExecution.error();
+        std::ostringstream oss;
+        oss << ", and failed to recover dead prepared model with error " << code << ": " << message;
+        result.error().message += oss.str();
+        return result;
+    }
+    execution = std::move(maybeExecution).value();
+
+    return fn(*execution);
+}
+
+}  // namespace
+
+nn::GeneralResult<std::shared_ptr<const ResilientExecution>> ResilientExecution::create(
+        Factory makeExecution) {
+    if (makeExecution == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::INVALID_ARGUMENT)
+               << "utils::ResilientExecution::create must have non-empty makeExecution";
+    }
+    auto execution = NN_TRY(makeExecution());
+    CHECK(execution != nullptr);
+    return std::make_shared<ResilientExecution>(PrivateConstructorTag{}, std::move(makeExecution),
+                                                std::move(execution));
+}
+
+ResilientExecution::ResilientExecution(PrivateConstructorTag /*tag*/, Factory makeExecution,
+                                       nn::SharedExecution execution)
+    : kMakeExecution(std::move(makeExecution)), mExecution(std::move(execution)) {
+    CHECK(kMakeExecution != nullptr);
+    CHECK(mExecution != nullptr);
+}
+
+nn::SharedExecution ResilientExecution::getExecution() const {
+    std::lock_guard guard(mMutex);
+    return mExecution;
+}
+
+nn::GeneralResult<nn::SharedExecution> ResilientExecution::recover(
+        const nn::IExecution* failingExecution) const {
+    std::lock_guard guard(mMutex);
+
+    // Another caller updated the failing prepared model.
+    if (mExecution.get() != failingExecution) {
+        return mExecution;
+    }
+
+    mExecution = NN_TRY(kMakeExecution());
+    return mExecution;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
+ResilientExecution::compute(const nn::OptionalTimePoint& deadline) const {
+    const auto fn = [&deadline](const nn::IExecution& execution) {
+        return execution.compute(deadline);
+    };
+    return protect(*this, fn);
+}
+
+nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
+ResilientExecution::computeFenced(const std::vector<nn::SyncFence>& waitFor,
+                                  const nn::OptionalTimePoint& deadline,
+                                  const nn::OptionalDuration& timeoutDurationAfterFence) const {
+    const auto fn = [&waitFor, &deadline,
+                     &timeoutDurationAfterFence](const nn::IExecution& execution) {
+        return execution.computeFenced(waitFor, deadline, timeoutDurationAfterFence);
+    };
+    return protect(*this, fn);
+}
+
+bool ResilientExecution::isValidInternal() const {
+    return true;
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
index 5dd5f99..1ae19bc 100644
--- a/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
+++ b/neuralnetworks/utils/common/src/ResilientPreparedModel.cpp
@@ -17,7 +17,9 @@
 #include "ResilientPreparedModel.h"
 
 #include "InvalidBurst.h"
+#include "InvalidExecution.h"
 #include "ResilientBurst.h"
+#include "ResilientExecution.h"
 
 #include <android-base/logging.h>
 #include <android-base/thread_annotations.h>
@@ -127,6 +129,21 @@
     return protect(*this, fn);
 }
 
+nn::GeneralResult<nn::SharedExecution> ResilientPreparedModel::createReusableExecution(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+#if 0
+    auto self = shared_from_this();
+    ResilientExecution::Factory makeExecution =
+            [preparedModel = std::move(self), request, measure, loopTimeoutDuration] {
+        return preparedModel->createReusableExecutionInternal(request, measure, loopTimeoutDuration);
+    };
+    return ResilientExecution::create(std::move(makeExecution));
+#else
+    return createReusableExecutionInternal(request, measure, loopTimeoutDuration);
+#endif
+}
+
 nn::GeneralResult<nn::SharedBurst> ResilientPreparedModel::configureExecutionBurst() const {
 #if 0
     auto self = shared_from_this();
@@ -140,6 +157,19 @@
 #endif
 }
 
+nn::GeneralResult<nn::SharedExecution> ResilientPreparedModel::createReusableExecutionInternal(
+        const nn::Request& request, nn::MeasureTiming measure,
+        const nn::OptionalDuration& loopTimeoutDuration) const {
+    if (!isValidInternal()) {
+        return std::make_shared<const InvalidExecution>();
+    }
+    const auto fn = [&request, measure,
+                     &loopTimeoutDuration](const nn::IPreparedModel& preparedModel) {
+        return preparedModel.createReusableExecution(request, measure, loopTimeoutDuration);
+    };
+    return protect(*this, fn);
+}
+
 std::any ResilientPreparedModel::getUnderlyingResource() const {
     return getPreparedModel()->getUnderlyingResource();
 }
diff --git a/neuralnetworks/utils/common/test/MockExecution.h b/neuralnetworks/utils/common/test/MockExecution.h
new file mode 100644
index 0000000..91e3428
--- /dev/null
+++ b/neuralnetworks/utils/common/test/MockExecution.h
@@ -0,0 +1,38 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_EXECUTION
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_EXECUTION
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <nnapi/IExecution.h>
+
+namespace android::nn {
+
+class MockExecution final : public IExecution {
+  public:
+    MOCK_METHOD((ExecutionResult<std::pair<std::vector<OutputShape>, Timing>>), compute,
+                (const OptionalTimePoint& deadline), (const, override));
+    MOCK_METHOD((GeneralResult<std::pair<SyncFence, ExecuteFencedInfoCallback>>), computeFenced,
+                (const std::vector<SyncFence>& waitFor, const OptionalTimePoint& deadline,
+                 const OptionalDuration& timeoutDurationAfterFence),
+                (const, override));
+};
+
+}  // namespace android::nn
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_EXECUTION
diff --git a/neuralnetworks/utils/common/test/MockPreparedModel.h b/neuralnetworks/utils/common/test/MockPreparedModel.h
index c004861..c8ce006 100644
--- a/neuralnetworks/utils/common/test/MockPreparedModel.h
+++ b/neuralnetworks/utils/common/test/MockPreparedModel.h
@@ -35,6 +35,10 @@
                  const OptionalDuration& loopTimeoutDuration,
                  const OptionalDuration& timeoutDurationAfterFence),
                 (const, override));
+    MOCK_METHOD((GeneralResult<SharedExecution>), createReusableExecution,
+                (const nn::Request& request, nn::MeasureTiming measure,
+                 const nn::OptionalDuration& loopTimeoutDuration),
+                (const, override));
     MOCK_METHOD(GeneralResult<SharedBurst>, configureExecutionBurst, (), (const, override));
     MOCK_METHOD(std::any, getUnderlyingResource, (), (const, override));
 };
diff --git a/neuralnetworks/utils/common/test/ResilientExecution.cpp b/neuralnetworks/utils/common/test/ResilientExecution.cpp
new file mode 100644
index 0000000..c0737fb
--- /dev/null
+++ b/neuralnetworks/utils/common/test/ResilientExecution.cpp
@@ -0,0 +1,260 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <gmock/gmock.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/ResilientExecution.h>
+#include <utility>
+#include "MockExecution.h"
+
+namespace android::hardware::neuralnetworks::utils {
+namespace {
+
+using ::testing::_;
+using ::testing::InvokeWithoutArgs;
+using ::testing::Return;
+
+using SharedMockExecution = std::shared_ptr<const nn::MockExecution>;
+using MockExecutionFactory = ::testing::MockFunction<nn::GeneralResult<nn::SharedExecution>()>;
+
+SharedMockExecution createMockExecution() {
+    return std::make_shared<const nn::MockExecution>();
+}
+
+std::tuple<SharedMockExecution, std::unique_ptr<MockExecutionFactory>,
+           std::shared_ptr<const ResilientExecution>>
+setup() {
+    auto mockExecution = std::make_shared<const nn::MockExecution>();
+
+    auto mockExecutionFactory = std::make_unique<MockExecutionFactory>();
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(Return(mockExecution));
+
+    auto buffer = ResilientExecution::create(mockExecutionFactory->AsStdFunction()).value();
+    return std::make_tuple(std::move(mockExecution), std::move(mockExecutionFactory),
+                           std::move(buffer));
+}
+
+constexpr auto makeError = [](nn::ErrorStatus status) {
+    return [status](const auto&... /*args*/) { return nn::error(status); };
+};
+const auto kReturnGeneralFailure = makeError(nn::ErrorStatus::GENERAL_FAILURE);
+const auto kReturnDeadObject = makeError(nn::ErrorStatus::DEAD_OBJECT);
+
+const auto kNoExecutionError =
+        nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>{};
+const auto kNoFencedExecutionError =
+        nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>(
+                std::make_pair(nn::SyncFence::createAsSignaled(), nullptr));
+
+}  // namespace
+
+TEST(ResilientExecutionTest, invalidExecutionFactory) {
+    // setup call
+    const auto invalidExecutionFactory = ResilientExecution::Factory{};
+
+    // run test
+    const auto result = ResilientExecution::create(invalidExecutionFactory);
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::INVALID_ARGUMENT);
+}
+
+TEST(ResilientExecutionTest, executionFactoryFailure) {
+    // setup call
+    const auto invalidExecutionFactory = kReturnGeneralFailure;
+
+    // run test
+    const auto result = ResilientExecution::create(invalidExecutionFactory);
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(ResilientExecutionTest, getExecution) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+
+    // run test
+    const auto result = execution->getExecution();
+
+    // verify result
+    EXPECT_TRUE(result == mockExecution);
+}
+
+TEST(ResilientExecutionTest, compute) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, compute(_)).Times(1).WillOnce(Return(kNoExecutionError));
+
+    // run test
+    const auto result = execution->compute({});
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientExecutionTest, computeError) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, compute(_)).Times(1).WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = execution->compute({});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(ResilientExecutionTest, computeDeadObjectFailedRecovery) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, compute(_)).Times(1).WillOnce(kReturnDeadObject);
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = execution->compute({});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(ResilientExecutionTest, computeDeadObjectSuccessfulRecovery) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, compute(_)).Times(1).WillOnce(kReturnDeadObject);
+    const auto recoveredMockExecution = createMockExecution();
+    EXPECT_CALL(*recoveredMockExecution, compute(_)).Times(1).WillOnce(Return(kNoExecutionError));
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(Return(recoveredMockExecution));
+
+    // run test
+    const auto result = execution->compute({});
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientExecutionTest, computeFenced) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, computeFenced(_, _, _))
+            .Times(1)
+            .WillOnce(Return(kNoFencedExecutionError));
+
+    // run test
+    const auto result = execution->computeFenced({}, {}, {});
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientExecutionTest, computeFencedError) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, computeFenced(_, _, _)).Times(1).WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = execution->computeFenced({}, {}, {});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(ResilientExecutionTest, computeFencedDeadObjectFailedRecovery) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, computeFenced(_, _, _)).Times(1).WillOnce(kReturnDeadObject);
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = execution->computeFenced({}, {}, {});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
+TEST(ResilientExecutionTest, computeFencedDeadObjectSuccessfulRecovery) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    EXPECT_CALL(*mockExecution, computeFenced(_, _, _)).Times(1).WillOnce(kReturnDeadObject);
+    const auto recoveredMockExecution = createMockExecution();
+    EXPECT_CALL(*recoveredMockExecution, computeFenced(_, _, _))
+            .Times(1)
+            .WillOnce(Return(kNoFencedExecutionError));
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(Return(recoveredMockExecution));
+
+    // run test
+    const auto result = execution->computeFenced({}, {}, {});
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientExecutionTest, recover) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    const auto recoveredMockExecution = createMockExecution();
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(Return(recoveredMockExecution));
+
+    // run test
+    const auto result = execution->recover(mockExecution.get());
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+    EXPECT_TRUE(result.value() == recoveredMockExecution);
+}
+
+TEST(ResilientExecutionTest, recoverFailure) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    const auto recoveredMockExecution = createMockExecution();
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = execution->recover(mockExecution.get());
+
+    // verify result
+    EXPECT_FALSE(result.has_value());
+}
+
+TEST(ResilientExecutionTest, someoneElseRecovered) {
+    // setup call
+    const auto [mockExecution, mockExecutionFactory, execution] = setup();
+    const auto recoveredMockExecution = createMockExecution();
+    EXPECT_CALL(*mockExecutionFactory, Call()).Times(1).WillOnce(Return(recoveredMockExecution));
+    execution->recover(mockExecution.get());
+
+    // run test
+    const auto result = execution->recover(mockExecution.get());
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+    EXPECT_TRUE(result.value() == recoveredMockExecution);
+}
+
+}  // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp b/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
index 6d86e10..d396ca8 100644
--- a/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
+++ b/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
@@ -55,6 +55,7 @@
 const auto kReturnGeneralFailure = makeError(nn::ErrorStatus::GENERAL_FAILURE);
 const auto kReturnDeadObject = makeError(nn::ErrorStatus::DEAD_OBJECT);
 
+const auto kNoCreateReusableExecutionError = nn::GeneralResult<nn::SharedExecution>{};
 const auto kNoExecutionError =
         nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>{};
 const auto kNoFencedExecutionError =
@@ -231,6 +232,36 @@
             << "Failed with " << result.error().code << ": " << result.error().message;
 }
 
+TEST(ResilientPreparedModelTest, createReusableExecution) {
+    // setup call
+    const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();
+    EXPECT_CALL(*mockPreparedModel, createReusableExecution(_, _, _))
+            .Times(1)
+            .WillOnce(Return(kNoCreateReusableExecutionError));
+
+    // run test
+    const auto result = preparedModel->createReusableExecution({}, {}, {});
+
+    // verify result
+    ASSERT_TRUE(result.has_value())
+            << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientPreparedModelTest, createReusableExecutionError) {
+    // setup call
+    const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();
+    EXPECT_CALL(*mockPreparedModel, createReusableExecution(_, _, _))
+            .Times(1)
+            .WillOnce(kReturnGeneralFailure);
+
+    // run test
+    const auto result = preparedModel->createReusableExecution({}, {}, {});
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
 TEST(ResilientPreparedModelTest, getUnderlyingResource) {
     // setup call
     const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();
diff --git a/power/stats/aidl/android/hardware/power/stats/EnergyConsumerResult.aidl b/power/stats/aidl/android/hardware/power/stats/EnergyConsumerResult.aidl
index 12d2042..66c8c8c 100644
--- a/power/stats/aidl/android/hardware/power/stats/EnergyConsumerResult.aidl
+++ b/power/stats/aidl/android/hardware/power/stats/EnergyConsumerResult.aidl
@@ -25,7 +25,7 @@
      */
     int id;
     /**
-     * Time since boot in milliseconds
+     * Time of data capture in milliseconds since boot (CLOCK_BOOTTIME clock)
      */
     long timestampMs;
     /**
@@ -38,4 +38,3 @@
      */
     EnergyConsumerAttribution[] attribution;
 }
-
diff --git a/power/stats/aidl/android/hardware/power/stats/EnergyMeasurement.aidl b/power/stats/aidl/android/hardware/power/stats/EnergyMeasurement.aidl
index d3e8f46..31fbaa8 100644
--- a/power/stats/aidl/android/hardware/power/stats/EnergyMeasurement.aidl
+++ b/power/stats/aidl/android/hardware/power/stats/EnergyMeasurement.aidl
@@ -23,7 +23,7 @@
      */
     int id;
     /**
-     * Approximate time of data capture in millseconds since boot
+     * Time of data capture in milliseconds since boot (CLOCK_BOOTTIME clock)
      */
     long timestampMs;
     /**
@@ -35,4 +35,3 @@
      */
     long energyUWs;
 }
-
diff --git a/radio/1.0/vts/OWNERS b/radio/1.0/vts/OWNERS
index 2384317..9310f8e 100644
--- a/radio/1.0/vts/OWNERS
+++ b/radio/1.0/vts/OWNERS
@@ -1,8 +1,7 @@
 # Telephony team
 amitmahajan@google.com
-sanketpadawe@google.com
 shuoq@google.com
+jackyu@google.com
 
 # VTS team
-yuexima@google.com
-yim@google.com
+dshi@google.com
diff --git a/radio/1.0/vts/functional/vts_test_util.cpp b/radio/1.0/vts/functional/vts_test_util.cpp
index fc37201..5b31acc 100644
--- a/radio/1.0/vts/functional/vts_test_util.cpp
+++ b/radio/1.0/vts/functional/vts_test_util.cpp
@@ -83,6 +83,13 @@
     return hasFeature;
 }
 
+bool isSsSsEnabled() {
+    // Do not use checkSubstringInCommandOutput("getprop persist.radio.multisim.config", "")
+    // until b/148904287 is fixed. We need exact matching instead of partial matching. (i.e.
+    // by definition the empty string "" is a substring of any string).
+    return !isDsDsEnabled() && !isTsTsEnabled();
+}
+
 bool isDsDsEnabled() {
     return testing::checkSubstringInCommandOutput("getprop persist.radio.multisim.config", "dsds");
 }
diff --git a/radio/1.0/vts/functional/vts_test_util.h b/radio/1.0/vts/functional/vts_test_util.h
index eeb1d29..fa338a3 100644
--- a/radio/1.0/vts/functional/vts_test_util.h
+++ b/radio/1.0/vts/functional/vts_test_util.h
@@ -80,12 +80,17 @@
 bool deviceSupportsFeature(const char* feature);
 
 /*
- * Check if device is in DSDS.
+ * Check if device is in SsSs (Single SIM Single Standby).
+ */
+bool isSsSsEnabled();
+
+/*
+ * Check if device is in DSDS (Dual SIM Dual Standby).
  */
 bool isDsDsEnabled();
 
 /*
- * Check if device is in TSTS.
+ * Check if device is in TSTS (Triple SIM Triple Standby).
  */
 bool isTsTsEnabled();
 
diff --git a/radio/1.1/vts/OWNERS b/radio/1.1/vts/OWNERS
index 2384317..a07c917 100644
--- a/radio/1.1/vts/OWNERS
+++ b/radio/1.1/vts/OWNERS
@@ -1,8 +1 @@
-# Telephony team
-amitmahajan@google.com
-sanketpadawe@google.com
-shuoq@google.com
-
-# VTS team
-yuexima@google.com
-yim@google.com
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.2/vts/OWNERS b/radio/1.2/vts/OWNERS
index 245d9d4..a07c917 100644
--- a/radio/1.2/vts/OWNERS
+++ b/radio/1.2/vts/OWNERS
@@ -1,9 +1 @@
-# Telephony team
-amitmahajan@google.com
-sanketpadawe@google.com
-shuoq@google.com
-sasindran@google.com
-
-# VTS team
-yuexima@google.com
-yim@google.com
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.3/vts/OWNERS b/radio/1.3/vts/OWNERS
index d642064..a07c917 100644
--- a/radio/1.3/vts/OWNERS
+++ b/radio/1.3/vts/OWNERS
@@ -1,10 +1 @@
-# Telephony team
-amitmahajan@google.com
-sanketpadawe@google.com
-shuoq@google.com
-sasindran@google.com
-nazaninb@google.com
-
-# VTS team
-yuexima@google.com
-yim@google.com
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.4/vts/OWNERS b/radio/1.4/vts/OWNERS
index fd69f36..a07c917 100644
--- a/radio/1.4/vts/OWNERS
+++ b/radio/1.4/vts/OWNERS
@@ -1,8 +1 @@
-# Telephony team
-amitmahajan@google.com
-shuoq@google.com
-sasindran@google.com
-
-# VTS team
-yuexima@google.com
-yim@google.com
\ No newline at end of file
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.5/vts/OWNERS b/radio/1.5/vts/OWNERS
index 3629a6c..a07c917 100644
--- a/radio/1.5/vts/OWNERS
+++ b/radio/1.5/vts/OWNERS
@@ -1,10 +1 @@
-# Telephony team
-refuhoo@google.com
-amitmahajan@google.com
-jackyu@google.com
-fionaxu@google.com
-# more to add
-
-# VTS team
-yuexima@google.com
-dshi@google.com
\ No newline at end of file
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.6/vts/OWNERS b/radio/1.6/vts/OWNERS
index 3629a6c..a07c917 100644
--- a/radio/1.6/vts/OWNERS
+++ b/radio/1.6/vts/OWNERS
@@ -1,10 +1 @@
-# Telephony team
-refuhoo@google.com
-amitmahajan@google.com
-jackyu@google.com
-fionaxu@google.com
-# more to add
-
-# VTS team
-yuexima@google.com
-dshi@google.com
\ No newline at end of file
+include ../../1.0/vts/OWNERS
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_api.cpp b/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
index 037d747..5af007e 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
+++ b/radio/1.6/vts/functional/radio_hidl_hal_api.cpp
@@ -512,6 +512,8 @@
                  ::android::hardware::radio::V1_6::RadioError::NONE,
                  ::android::hardware::radio::V1_6::RadioError::INVALID_ARGUMENTS}));
     }
+
+    sleep(1);
 }
 
 /*
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_misc.cpp b/radio/1.6/vts/functional/radio_hidl_hal_misc.cpp
index 4222441..8c99d92 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_misc.cpp
+++ b/radio/1.6/vts/functional/radio_hidl_hal_misc.cpp
@@ -45,10 +45,8 @@
                ::android::hardware::radio::V1_0::RadioError::NONE) {
         static const std::regex kOperatorNumericRe("^[0-9]{5,6}$");
         for (OperatorInfo info : radioRsp_v1_6->networkInfos) {
-            if (info.operatorNumeric != nullptr) {
-                ASSERT_TRUE(
-                        std::regex_match(std::string(info.operatorNumeric), kOperatorNumericRe));
-            }
+            ASSERT_TRUE(
+                    std::regex_match(std::string(info.operatorNumeric), kOperatorNumericRe));
         }
     }
 
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_test.cpp b/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
index 5d514a0..00f4468 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
+++ b/radio/1.6/vts/functional/radio_hidl_hal_test.cpp
@@ -16,8 +16,39 @@
 
 #include <radio_hidl_hal_utils_v1_6.h>
 
+bool isServiceValidForDeviceConfiguration(hidl_string& serviceName) {
+    if (isSsSsEnabled()) {
+        // Device is configured as SSSS.
+        if (serviceName != RADIO_SERVICE_SLOT1_NAME) {
+            ALOGI("%s instance is not valid for SSSS device.", serviceName.c_str());
+            return false;
+        }
+    } else if (isDsDsEnabled()) {
+        // Device is configured as DSDS.
+        if (serviceName != RADIO_SERVICE_SLOT1_NAME && serviceName != RADIO_SERVICE_SLOT2_NAME) {
+            ALOGI("%s instance is not valid for DSDS device.", serviceName.c_str());
+            return false;
+        }
+    } else if (isTsTsEnabled()) {
+        // Device is configured as TSTS.
+        if (serviceName != RADIO_SERVICE_SLOT1_NAME && serviceName != RADIO_SERVICE_SLOT2_NAME &&
+            serviceName != RADIO_SERVICE_SLOT3_NAME) {
+            ALOGI("%s instance is not valid for TSTS device.", serviceName.c_str());
+            return false;
+        }
+    }
+    return true;
+}
+
 void RadioHidlTest_v1_6::SetUp() {
-    radio_v1_6 = android::hardware::radio::V1_6::IRadio::getService(GetParam());
+    hidl_string serviceName = GetParam();
+
+    if (!isServiceValidForDeviceConfiguration(serviceName)) {
+        ALOGI("Skipped the test due to device configuration.");
+        GTEST_SKIP();
+    }
+
+    radio_v1_6 = android::hardware::radio::V1_6::IRadio::getService(serviceName);
     ASSERT_NE(nullptr, radio_v1_6.get());
 
     radioRsp_v1_6 = new (std::nothrow) RadioResponse_v1_6(*this);
diff --git a/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h b/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
index 3185f98..54c2977 100644
--- a/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
+++ b/radio/1.6/vts/functional/radio_hidl_hal_utils_v1_6.h
@@ -48,7 +48,9 @@
 #define MODEM_EMERGENCY_CALL_ESTABLISH_TIME 3
 #define MODEM_EMERGENCY_CALL_DISCONNECT_TIME 3
 
-#define RADIO_SERVICE_NAME "slot1"
+#define RADIO_SERVICE_SLOT1_NAME "slot1"  // HAL instance name for SIM slot 1 or single SIM device
+#define RADIO_SERVICE_SLOT2_NAME "slot2"  // HAL instance name for SIM slot 2 on dual SIM device
+#define RADIO_SERVICE_SLOT3_NAME "slot3"  // HAL instance name for SIM slot 3 on triple SIM device
 
 class RadioHidlTest_v1_6;
 extern ::android::hardware::radio::V1_5::CardStatus cardStatus;
diff --git a/sensors/1.0/ISensors.hal b/sensors/1.0/ISensors.hal
index 8d41de2..0e172ef 100644
--- a/sensors/1.0/ISensors.hal
+++ b/sensors/1.0/ISensors.hal
@@ -103,7 +103,7 @@
      * Flush adds a FLUSH_COMPLETE metadata event to the end of the "batch mode"
      * FIFO for the specified sensor and flushes the FIFO.  If the FIFO is empty
      * or if the sensor doesn't support batching (FIFO size zero), return
-     * SUCCESS and add a trivial FLUSH_COMPLETE event added to the event stream.
+     * OK and add a trivial FLUSH_COMPLETE event added to the event stream.
      * This applies to all sensors other than one-shot sensors. If the sensor
      * is a one-shot sensor, flush must return BAD_VALUE and not generate any
      * flush complete metadata.  If the sensor is not active at the time flush()
diff --git a/sensors/1.0/types.hal b/sensors/1.0/types.hal
index cbbe92f..ac7be06 100644
--- a/sensors/1.0/types.hal
+++ b/sensors/1.0/types.hal
@@ -1130,7 +1130,7 @@
 
     /**
      * High performance mode hint. Device is able to use up more power and take
-     * more reources to improve throughput and latency in high performance mode.
+     * more resources to improve throughput and latency in high performance mode.
      * One possible use case is virtual reality, when sensor latency need to be
      * carefully controlled.
      * int32_t: 1 or 0, denote if device is in/out of high performance mode,
diff --git a/sensors/1.0/vts/functional/VtsHalSensorsV1_0TargetTest.cpp b/sensors/1.0/vts/functional/VtsHalSensorsV1_0TargetTest.cpp
index 56bc9cf..1f579ba 100644
--- a/sensors/1.0/vts/functional/VtsHalSensorsV1_0TargetTest.cpp
+++ b/sensors/1.0/vts/functional/VtsHalSensorsV1_0TargetTest.cpp
@@ -190,7 +190,7 @@
     });
 }
 
-// Test if sensor list returned is valid
+// Test if sensor hal can switch to different operation modes
 TEST_P(SensorsHidlTest, SetOperationMode) {
     std::vector<SensorInfo> sensorList = getSensorsList();
 
@@ -208,7 +208,7 @@
     ASSERT_EQ(Result::OK, S()->setOperationMode(OperationMode::NORMAL));
 }
 
-// Test if sensor list returned is valid
+// Test if sensor hal can receive injected events in loopback mode
 TEST_P(SensorsHidlTest, InjectSensorEventData) {
     std::vector<SensorInfo> sensorList = getSensorsList();
     std::vector<SensorInfo> sensorSupportInjection;
diff --git a/sensors/common/vts/utils/include/sensors-vts-utils/SensorsHidlTestBase.h b/sensors/common/vts/utils/include/sensors-vts-utils/SensorsHidlTestBase.h
index a8e1996..af14009 100644
--- a/sensors/common/vts/utils/include/sensors-vts-utils/SensorsHidlTestBase.h
+++ b/sensors/common/vts/utils/include/sensors-vts-utils/SensorsHidlTestBase.h
@@ -425,7 +425,10 @@
             return;
         }
 
-        batchingPeriodInNs = std::min(batchingPeriodInNs, maxBatchingTestTimeNs);
+        if (batchingPeriodInNs > maxBatchingTestTimeNs) {
+            batchingPeriodInNs = maxBatchingTestTimeNs;
+            minFifoCount = (uint32_t)(batchingPeriodInNs / minSamplingPeriodInNs);
+        }
 
         ALOGI("Test batching for %d ms", (int)(batchingPeriodInNs / 1000 / 1000));
 
@@ -448,7 +451,7 @@
                       false /*change collection*/);
 
         // 0.8 + 0.2 times the batching period
-        usleep(batchingPeriodInNs / 1000 * 8 / 10);
+        usleep(batchingPeriodInNs / 1000 * 2 / 10);
         ASSERT_EQ(flush(handle), Result::OK);
 
         // plus some time for the event to deliver
diff --git a/soundtrigger/2.4/Android.bp b/soundtrigger/2.4/Android.bp
new file mode 100644
index 0000000..44befc3
--- /dev/null
+++ b/soundtrigger/2.4/Android.bp
@@ -0,0 +1,30 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+package {
+    // See: http://go/android-license-faq
+    // A large-scale-change added 'default_applicable_licenses' to import
+    // all of the 'license_kinds' from "hardware_interfaces_license"
+    // to get the below license kinds:
+    //   SPDX-license-identifier-Apache-2.0
+    default_applicable_licenses: ["hardware_interfaces_license"],
+}
+
+hidl_interface {
+    name: "android.hardware.soundtrigger@2.4",
+    root: "android.hardware",
+    srcs: [
+        "ISoundTriggerHw.hal",
+        "ISoundTriggerHwCallback.hal",
+        "ISoundTriggerHwGlobalCallback.hal",
+    ],
+    interfaces: [
+        "android.hardware.audio.common@2.0",
+        "android.hardware.soundtrigger@2.0",
+        "android.hardware.soundtrigger@2.1",
+        "android.hardware.soundtrigger@2.2",
+        "android.hardware.soundtrigger@2.3",
+        "android.hidl.base@1.0",
+        "android.hidl.safe_union@1.0",
+    ],
+    gen_java: true,
+}
diff --git a/soundtrigger/2.4/ISoundTriggerHw.hal b/soundtrigger/2.4/ISoundTriggerHw.hal
new file mode 100644
index 0000000..fd39303
--- /dev/null
+++ b/soundtrigger/2.4/ISoundTriggerHw.hal
@@ -0,0 +1,190 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger@2.4;
+
+import @2.0::SoundModelHandle;
+import @2.1::ISoundTriggerHw.SoundModel;
+import @2.1::ISoundTriggerHw.PhraseSoundModel;
+import @2.3::ISoundTriggerHw;
+import @2.3::RecognitionConfig;
+import ISoundTriggerHwCallback;
+import ISoundTriggerHwGlobalCallback;
+
+/**
+ * SoundTrigger HAL interface. Used for hardware recognition of hotwords
+ * and other sounds.
+ *
+ * Important notes about the threading model:
+ * ==========================================
+ * Both this interface and the corresponding callback interface use a synchronized calling
+ * convention. This model comes with some advantages, but also with some risks of deadlocks if the
+ * implementation does not handle this correctly. Please consider the following:
+ * - After stopRecognition() returns no more recognition events for that model may be sent. This
+ *   implies that any queues holding such events must be flushed before the call returns and that
+ *   may imply that callback from the HAL to the client are done while stopRecognition() is blocked.
+ *   This is OK, and supported by the framework.
+ * - Similarly, the same relationship applies between unloadModel() and subsequent callbacks to
+ *   modelUnloaded().
+ * - Other than these two cases, calls into the HAL *MAY NOT* block on callbacks from the HAL, or
+ *   else deadlock conditions may result, which may be handled by rebooting of the HAL process and
+ *   cause service outages.
+ *
+ * Similarly, it is expected that a single call to startRecognition() generates at most one event
+ * (the model automatically becomes stopped when the event occurs, until explicitly started again)
+ * and that after a modelUnloaded() event no more events would be sent regarding the model.
+ * Note that a getModelState() call may generate a recognition event, but this event DOES NOT modify
+ * the model state - the model remains started.
+ *
+ * The HAL is expected to correctly handle a stopRecognition() call even after it sent an event
+ * indicating that recognition is stopped and an unloadModel() call even after it sent an event
+ * indicating that it has been unloaded. This is required in order to prevent race conditions
+ * between these calls. This also implies that model handles should generally not be reused until
+ * explicitly unloaded. To avoid the rare possibility of running out of handles, the framework will
+ * call unloadModel() on models that have been preemptively unloaded by the HAL.
+ *
+ * Due to the asynchronous nature of recognition events and preemptive model unloading, the HAL must
+ * correctly handle requests that would have been valid before an event has been delivered, but
+ * became moot as result of the event. Namely:
+ * - stopRecognition() may be called on a model that has already delivered an event and became
+ *   inactive as a result. The HAL must return a successful return code in this case.
+ * - Furthermore, if a model is preemptively unloaded after it triggers (typically, this would
+ *   happen when it is first aborted and immediately preemptively unloaded), stopRecognition() may
+ *   be called on it. The HAL must return a successful return code in this case.
+ * - startRecognition() may be called on a model that has been preemptively unloaded. In this case,
+ *   the HAL must return -EBUSY to indicate that the operation is temporarily unsuccessful.
+ * - unloadSoundModel() may be called on a model that has been preemptively unloaded. The HAL must
+ *   return a successful return code in this case.
+ *
+ * Important notes about resource constraints and concurrency
+ * =========================================================
+ * Up until this version, the framework would enforce concurrency constraints expressed by the
+ * Properties presented by the soundtrigger instance. These include constraints on the maximum
+ * amount of models that can be loaded at the same time and on running recognition while capturing
+ * from the microphone.
+ * This version changes the approach for how these constraints are modeled, both offering the HAL
+ * implementation more flexibility and simplifying the framework's job in enforcing these
+ * limitations. Note that there is no change for how the framework behaves with earlier versions,
+ * everything described below only applies to this version and onward.
+ * The way this is achieved is as following:
+ * - The framework will no longer enforce constraints on concurrent loading of models, as expressed
+ *   in the Properties.maxSoundModels field (this property is merely a hint at this point and may be
+ *   deprecated in the future.
+ * - The framework will no longer enforce constraints on concurrency of audio recording and
+ *   soundtrigger operation, as expressed in the Properties.concurrentCapture field (this property
+ *   is merely a hint at this point and may be deprecated in the future).
+ * - The framework will no longer enforce constraints on concurrent loading of models, as expressed
+ *   in the Properties (these properties are merely hints at this point and may be deprecated in the
+ *   future.
+ * - The HAL implementation is free to reject starting of any model at any time by having the
+ *   respective start*() method return -EBUSY.
+ * - The HAL implementation is free to reject loading of any model at any time by having the
+ *   respective load*() method return -EBUSY.
+ * - The HAL implementation is free to preemptively stop a previously started model at its own
+ *   discretion (for example, if a higher priority use-case which cannot coexist with detection
+ *   has been requested). The HAL must notify the framework of the preemption by sending a
+ *   recognition event with an `ABORT` status. The implementation must NOT attempt to restart the
+ *   recognition automatically when conditions change.
+ * - The HAL implementation is free to preemptively unload a previously loaded model at its own
+ *   discretion (for example, if a higher-priority model is being loaded and the two cannot
+ *   coexist). When doing so, it must first abort the detection if active (as per above) and then
+ *   notify the framework of the unload using the newly added modelUnloaded callback.
+ * - When conditions change, such that a model that couldn't previously load or start or that had
+ *   previously been preemptively stopped or unloaded, the HAL must notify the framework via the
+ *   newly added tryAgain() callback. This callback is not a guarantee that any operation would now
+ *   succeed, but merely a hint that retrying something that had previously failed, now MAY succeed.
+ *   Until this callback arrives, the framework may assume that any operation that had previously
+ *   failed or aborted would still fail if retried, so the implementation should not forget to
+ *   deliver it. There are no guarantees regarding how the framework may respond to this event and
+ *   the order in which it may choose to reload/restart its models. Typically, as result of this
+ *   event the framework will make a single attempt per model to bring this model to its desired
+ *   state (loaded, started).
+ */
+interface ISoundTriggerHw extends @2.3::ISoundTriggerHw {
+    /**
+     * This will get called at most once per every attachment to the service.
+     *
+     * All events not tied to a specific model should go through this callback.
+     */
+    registerGlobalCallback(ISoundTriggerHwGlobalCallback callback);
+
+    /**
+     * Load a sound model. Once loaded, recognition of this model can be
+     * started and stopped.
+     * The implementation returns a unique handle used by other functions
+     * (unloadSoundModel(), startRecognition*(), etc...
+     *
+     * Must have the exact same semantics as loadSoundModel from ISoundTriggerHw@2.3 except that the
+     * return values have changed and that there is no cookie provided (the implementation may pass
+     * any value to the callback, as it is ignored).
+     *
+     * @param soundModel A SoundModel structure describing the sound model
+     *     to load.
+     * @param callback The callback interface on which the soundModelCallback*()
+     *     method must be called upon completion and modelUnloaded() upon preempted unload.
+     * @return retval Operation completion status: 0 in case of success,
+     *     -EBUSY in case the operation is temporarily unavailable (but possible in general).
+     * @return modelHandle A unique handle assigned by the HAL for use by the
+     *     framework when controlling activity for this sound model.
+     */
+    loadSoundModel_2_4(SoundModel soundModel, ISoundTriggerHwCallback callback)
+            generates (int32_t retval, SoundModelHandle modelHandle);
+
+    /**
+     * Load a key phrase sound model. Once loaded, recognition of this model can
+     * be started and stopped. Only one active recognition per model at a time.
+     * The SoundTrigger service must handle concurrent recognition requests by
+     * different users/applications on the same model.
+     * The implementation returns a unique handle used by other functions
+     * (unloadSoundModel(), startRecognition*(), etc...
+     *
+     * Must have the exact same semantics as loadPhraseSoundModel from ISoundTriggerHw@2.3 except
+     * that the return values have changed and that there is no cookie provided (the implementation
+     * may pass any value to the callback, as it is ignored).
+     *
+     * @param soundModel A PhraseSoundModel structure describing the sound model
+     *     to load.
+     * @param callback The callback interface on which the soundModelCallback*()
+     *     method must be called upon completion and modelUnloaded() upon preempted unload.
+     * @return retval Operation completion status: 0 in case of success,
+     *     -EBUSY in case the operation is temporarily unavailable (but possible in general).
+     * @return modelHandle A unique handle assigned by the HAL for use by the
+     *     framework when controlling activity for this sound model.
+     */
+    loadPhraseSoundModel_2_4(PhraseSoundModel soundModel, ISoundTriggerHwCallback callback)
+            generates (int32_t retval, SoundModelHandle modelHandle);
+
+    /**
+     * Start recognition on a given model. Only one recognition active
+     * at a time per model. Once recognition succeeds or fails, the callback
+     * associated with the model handle is called.
+     *
+     * Must have the exact same semantics as startRecognition from ISoundTriggerHw@2.3 except that
+     * there are different expectations of the return value and that there is no cookie provided
+     * (the implementation may pass any value to the callback, as it is ignored).
+     *
+     * @param modelHandle the handle of the sound model to use for recognition
+     * @param config A RecognitionConfig structure containing attributes of the
+     *     recognition to perform
+     * @param callback The callback interface on which the recognitionCallback()
+     *     method must be called upon recognition.
+     * @return retval Operation completion status: 0 in case of success,
+     *     -EBUSY in case the operation is temporarily unavailable (but possible in general), or in
+     *            case model has been preemtively unloaded.
+     */
+    startRecognition_2_4(SoundModelHandle modelHandle, RecognitionConfig config)
+            generates (int32_t retval);
+};
diff --git a/soundtrigger/2.4/ISoundTriggerHwCallback.hal b/soundtrigger/2.4/ISoundTriggerHwCallback.hal
new file mode 100644
index 0000000..594deb0
--- /dev/null
+++ b/soundtrigger/2.4/ISoundTriggerHwCallback.hal
@@ -0,0 +1,34 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger@2.4;
+
+import @2.0::SoundModelHandle;
+import @2.1::ISoundTriggerHwCallback;
+
+/**
+ * SoundTrigger HAL per-model Callback interface.
+ */
+interface ISoundTriggerHwCallback extends @2.1::ISoundTriggerHwCallback {
+    /**
+     * Callback method called by the HAL when a model has been unloaded at the HAL implementation's
+     * discretion. Only a stopped model may be unloaded.
+     * This event is NOT sent as part of an unload sequence initiated by the client.
+     *
+     * @param model The model handle.
+     */
+    modelUnloaded(SoundModelHandle model);
+};
diff --git a/soundtrigger/2.4/ISoundTriggerHwGlobalCallback.hal b/soundtrigger/2.4/ISoundTriggerHwGlobalCallback.hal
new file mode 100644
index 0000000..2f1a977
--- /dev/null
+++ b/soundtrigger/2.4/ISoundTriggerHwGlobalCallback.hal
@@ -0,0 +1,32 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger@2.4;
+
+/**
+ * SoundTrigger HAL callback interface for events not associated with a particular model.
+ */
+interface ISoundTriggerHwGlobalCallback {
+    /**
+     * Callback method called by the HAL whenever internal conditions have been made available, such
+     * that a call that would previously have failed with an -EBUSY status may now succeed.
+     * There is no guarantee that any call would succeed following this event. It is merely a hint
+     * to the client that it may retry.
+     * Conversely, any call that have failed previously with -EBUSY is guaranteed to fail again if
+     * retried, until this callback is delivered.
+     */
+    onResourcesAvailable();
+};
diff --git a/soundtrigger/2.4/cli/Android.bp b/soundtrigger/2.4/cli/Android.bp
new file mode 100644
index 0000000..8d0979b
--- /dev/null
+++ b/soundtrigger/2.4/cli/Android.bp
@@ -0,0 +1,17 @@
+package {
+    // See: http://go/android-license-faq
+    // A large-scale-change added 'default_applicable_licenses' to import
+    // all of the 'license_kinds' from "hardware_interfaces_license"
+    // to get the below license kinds:
+    //   SPDX-license-identifier-Apache-2.0
+    default_applicable_licenses: ["hardware_interfaces_license"],
+}
+
+java_binary {
+    name: "sthal_cli_2.4",
+    wrapper: "sthal_cli_2.4",
+    srcs: ["java/**/*.java"],
+    static_libs: [
+        "android.hardware.soundtrigger-V2.4-java",
+    ],
+}
diff --git a/soundtrigger/2.4/cli/OWNERS b/soundtrigger/2.4/cli/OWNERS
new file mode 100644
index 0000000..e21b66e
--- /dev/null
+++ b/soundtrigger/2.4/cli/OWNERS
@@ -0,0 +1 @@
+include /media/java/android/media/soundtrigger_middleware/OWNERS
diff --git a/soundtrigger/2.4/cli/java/android/hardware/soundtrigger/V2_4/cli/SthalCli.java b/soundtrigger/2.4/cli/java/android/hardware/soundtrigger/V2_4/cli/SthalCli.java
new file mode 100644
index 0000000..4931105
--- /dev/null
+++ b/soundtrigger/2.4/cli/java/android/hardware/soundtrigger/V2_4/cli/SthalCli.java
@@ -0,0 +1,401 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package android.hardware.soundtrigger.V2_4.cli;
+
+import android.hardware.soundtrigger.V2_0.PhraseRecognitionExtra;
+import android.hardware.soundtrigger.V2_0.RecognitionMode;
+import android.hardware.soundtrigger.V2_0.SoundModelType;
+import android.hardware.soundtrigger.V2_3.OptionalModelParameterRange;
+import android.hardware.soundtrigger.V2_4.ISoundTriggerHw;
+import android.hardware.soundtrigger.V2_4.ISoundTriggerHwCallback;
+import android.hardware.soundtrigger.V2_4.ISoundTriggerHwGlobalCallback;
+import android.os.HidlMemoryUtil;
+import android.os.HwBinder;
+import android.os.RemoteException;
+import android.os.SystemProperties;
+
+import java.util.Scanner;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentMap;
+
+/**
+ * This is a quick-and-dirty sound trigger HAL console mock.
+ *
+ * It would only work on userdebug builds.
+ *
+ * When this app is started, it will initially:
+ * - Register a ISoundTriggerHw HAL with an instance name "mock".
+ * - Set a sysprop that tells SoundTriggerMiddlewareService to try to connect to the mock instance
+ * rather than the default one.
+ * - Reboot the real (default) HAL.
+ *
+ * In response to that, SoundTriggerMiddlewareService is going to connect to the mock HAL and resume
+ * normal operation.
+ *
+ * Our mock HAL will print to stdout every call it receives as well as expose a basic set of
+ * operations for sending event callbacks to the client. This allows us to simulate the frameworks
+ * behavior in response to different HAL behaviors.
+ */
+public class SthalCli {
+    private static SoundTriggerImpl mService;
+    private static final Scanner scanner = new Scanner(System.in);
+
+    public static void main(String[] args) {
+        try {
+            System.out.println("Registering mock STHAL");
+            HwBinder.setTrebleTestingOverride(true);
+            mService = new SoundTriggerImpl();
+            mService.registerAsService("mock");
+
+            System.out.println("Rebooting STHAL");
+            SystemProperties.set("debug.soundtrigger_middleware.use_mock_hal", "2");
+            SystemProperties.set("sys.audio.restart.hal", "1");
+
+            while (processCommand()) ;
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            cleanup();
+        }
+    }
+
+    private static void cleanup() {
+        System.out.println("Cleaning up.");
+        SystemProperties.set("debug.soundtrigger_middleware.use_mock_hal", null);
+        HwBinder.setTrebleTestingOverride(false);
+    }
+
+    private static boolean processCommand() {
+        String line = scanner.nextLine();
+        String[] tokens = line.split("\\s+");
+        if (tokens.length < 1) {
+            return false;
+        }
+        switch (tokens[0]) {
+            case "q":
+                return false;
+
+            case "a":
+                mService.sendOnResourcesAvailable();
+                return true;
+
+            case "u":
+                mService.sendModelUnloaded(Integer.parseInt(tokens[1]));
+                return true;
+
+            case "r":
+                mService.sendRecognitionEvent(Integer.parseInt(tokens[1]),
+                        Integer.parseInt(tokens[2]));
+                return true;
+
+            case "p":
+                mService.sendPhraseRecognitionEvent(Integer.parseInt(tokens[1]),
+                        Integer.parseInt(tokens[2]));
+                return true;
+
+            case "d":
+                mService.dumpModels();
+                return true;
+
+            case "h":
+                System.out.print("Available commands:\n" + "h - help\n" + "q - quit\n"
+                        + "a - send onResourcesAvailable event\n"
+                        + "u <model> - send modelUnloaded event\n"
+                        + "r <model> <status> - send recognitionEvent\n"
+                        + "p <model> <status> - send phraseRecognitionEvent\n"
+                        + "d - dump models\n");
+
+            default:
+                return true;
+        }
+    }
+
+    private static class SoundTriggerImpl extends ISoundTriggerHw.Stub {
+        static class Model {
+            final ISoundTriggerHwCallback callback;
+            final SoundModel model;
+            final PhraseSoundModel phraseModel;
+            public android.hardware.soundtrigger.V2_3.RecognitionConfig config = null;
+
+            Model(ISoundTriggerHwCallback callback, SoundModel model) {
+                this.callback = callback;
+                this.model = model;
+                this.phraseModel = null;
+            }
+
+            Model(ISoundTriggerHwCallback callback, PhraseSoundModel model) {
+                this.callback = callback;
+                this.model = null;
+                this.phraseModel = model;
+            }
+        }
+
+        private ISoundTriggerHwGlobalCallback mGlobalCallback;
+        private final ConcurrentMap<Integer, Model> mLoadedModels = new ConcurrentHashMap<>();
+        private int mHandleCounter = 1;
+
+        public void dumpModels() {
+            mLoadedModels.forEach((handle, model) -> {
+                System.out.println("+++ Model " + handle);
+                System.out.println("    config = " + model.config);
+                android.hardware.soundtrigger.V2_3.RecognitionConfig recognitionConfig =
+                        model.config;
+                if (recognitionConfig != null) {
+                    System.out.println("    ACTIVE recognitionConfig = " + recognitionConfig);
+                } else {
+                    System.out.println("    INACTIVE");
+                }
+            });
+        }
+
+        public void sendOnResourcesAvailable() {
+            if (mGlobalCallback != null) {
+                try {
+                    mGlobalCallback.onResourcesAvailable();
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+
+        public void sendRecognitionEvent(int modelHandle, int status) {
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null && model.config != null) {
+                android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback.RecognitionEvent event =
+                        new android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback.RecognitionEvent();
+                event.header.model = modelHandle;
+                event.header.type = SoundModelType.GENERIC;
+                event.header.status = status;
+                event.header.captureSession = model.config.base.header.captureHandle;
+                event.header.captureAvailable = true;
+                event.header.audioConfig.channelMask = 16;
+                event.header.audioConfig.format = 1;
+                event.header.audioConfig.sampleRateHz = 16000;
+                event.data = HidlMemoryUtil.byteArrayToHidlMemory(new byte[0]);
+                try {
+                    model.callback.recognitionCallback_2_1(event, 0);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+                model.config = null;
+            }
+        }
+
+        public void sendPhraseRecognitionEvent(int modelHandle, int status) {
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null && model.config != null) {
+                android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback.PhraseRecognitionEvent
+                        event =
+                        new android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback.PhraseRecognitionEvent();
+                event.common.header.model = modelHandle;
+                event.common.header.type = SoundModelType.KEYPHRASE;
+                event.common.header.status = status;
+                event.common.header.captureSession = model.config.base.header.captureHandle;
+                event.common.header.captureAvailable = true;
+                event.common.header.audioConfig.channelMask = 16;
+                event.common.header.audioConfig.format = 1;
+                event.common.header.audioConfig.sampleRateHz = 16000;
+                event.common.data = HidlMemoryUtil.byteArrayToHidlMemory(new byte[0]);
+                if (!model.phraseModel.phrases.isEmpty()) {
+                    PhraseRecognitionExtra extra = new PhraseRecognitionExtra();
+                    extra.id = model.phraseModel.phrases.get(0).id;
+                    extra.confidenceLevel = 100;
+                    extra.recognitionModes = model.phraseModel.phrases.get(0).recognitionModes;
+                    event.phraseExtras.add(extra);
+                }
+                try {
+                    model.callback.phraseRecognitionCallback_2_1(event, 0);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+                model.config = null;
+            }
+        }
+
+        public void sendModelUnloaded(int modelHandle) {
+            Model model = mLoadedModels.remove(modelHandle);
+            if (model != null) {
+                try {
+                    model.callback.modelUnloaded(modelHandle);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+
+        @Override
+        public void registerGlobalCallback(ISoundTriggerHwGlobalCallback callback) {
+            System.out.println("registerGlobalCallback()");
+            mGlobalCallback = callback;
+        }
+
+        @Override
+        public void loadSoundModel_2_4(SoundModel soundModel, ISoundTriggerHwCallback callback,
+                loadSoundModel_2_4Callback _hidl_cb) {
+            int handle = mHandleCounter++;
+            System.out.printf("loadSoundModel_2_4(soundModel=%s) -> %d%n", soundModel, handle);
+            mLoadedModels.put(handle, new Model(callback, soundModel));
+            _hidl_cb.onValues(0, handle);
+        }
+
+        @Override
+        public void loadPhraseSoundModel_2_4(PhraseSoundModel soundModel,
+                ISoundTriggerHwCallback callback, loadPhraseSoundModel_2_4Callback _hidl_cb) {
+            int handle = mHandleCounter++;
+            System.out.printf("loadPhraseSoundModel_2_4(soundModel=%s) -> %d%n", soundModel,
+                    handle);
+            mLoadedModels.put(handle, new Model(callback, soundModel));
+            _hidl_cb.onValues(0, handle);
+        }
+
+        @Override
+        public int startRecognition_2_4(int modelHandle,
+                android.hardware.soundtrigger.V2_3.RecognitionConfig config) {
+            System.out.printf("startRecognition_2_4(modelHandle=%d)%n", modelHandle);
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null) {
+                model.config = config;
+            }
+            return 0;
+        }
+
+        @Override
+        public void getProperties_2_3(getProperties_2_3Callback _hidl_cb) {
+            System.out.println("getProperties_2_3()");
+            android.hardware.soundtrigger.V2_3.Properties properties =
+                    new android.hardware.soundtrigger.V2_3.Properties();
+            properties.base.implementor = "Android";
+            properties.base.description = "Mock STHAL";
+            properties.base.maxSoundModels = 2;
+            properties.base.maxKeyPhrases = 1;
+            properties.base.recognitionModes =
+                    RecognitionMode.VOICE_TRIGGER | RecognitionMode.GENERIC_TRIGGER;
+            _hidl_cb.onValues(0, properties);
+        }
+
+        @Override
+        public void queryParameter(int modelHandle, int modelParam,
+                queryParameterCallback _hidl_cb) {
+            _hidl_cb.onValues(0, new OptionalModelParameterRange());
+        }
+
+        @Override
+        public int getModelState(int modelHandle) {
+            System.out.printf("getModelState(modelHandle=%d)%n", modelHandle);
+            return 0;
+        }
+
+        @Override
+        public int unloadSoundModel(int modelHandle) {
+            System.out.printf("unloadSoundModel(modelHandle=%d)%n", modelHandle);
+            return 0;
+        }
+
+        @Override
+        public int stopRecognition(int modelHandle) {
+            System.out.printf("stopRecognition(modelHandle=%d)%n", modelHandle);
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null) {
+                model.config = null;
+            }
+            return 0;
+        }
+
+        @Override
+        public void debug(android.os.NativeHandle fd, java.util.ArrayList<String> options) {
+            if (!options.isEmpty()) {
+                switch (options.get(0)) {
+                    case "reboot":
+                        System.out.println("Received a reboot request. Exiting.");
+                        cleanup();
+                        System.exit(1);
+                }
+            }
+        }
+
+        ////////////////////////////////////////////////////////////////////////////////////////////
+        // Everything below is not implemented and not expected to be called.
+
+        @Override
+        public int startRecognition_2_3(int modelHandle,
+                android.hardware.soundtrigger.V2_3.RecognitionConfig config) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public int setParameter(int modelHandle, int modelParam, int value) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void getParameter(int modelHandle, int modelParam, getParameterCallback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void loadSoundModel_2_1(SoundModel soundModel,
+                android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback callback, int cookie,
+                loadSoundModel_2_1Callback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void loadPhraseSoundModel_2_1(PhraseSoundModel soundModel,
+                android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback callback, int cookie,
+                loadPhraseSoundModel_2_1Callback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public int startRecognition_2_1(int modelHandle, RecognitionConfig config,
+                android.hardware.soundtrigger.V2_1.ISoundTriggerHwCallback callback, int cookie) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void getProperties(getPropertiesCallback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void loadSoundModel(
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHw.SoundModel soundModel,
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHwCallback callback, int cookie,
+                loadSoundModelCallback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public void loadPhraseSoundModel(
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHw.PhraseSoundModel soundModel,
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHwCallback callback, int cookie,
+                loadPhraseSoundModelCallback _hidl_cb) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public int startRecognition(int modelHandle,
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHw.RecognitionConfig config,
+                android.hardware.soundtrigger.V2_0.ISoundTriggerHwCallback callback, int cookie) {
+            throw new UnsupportedOperationException();
+        }
+
+        @Override
+        public int stopAllRecognitions() {
+            throw new UnsupportedOperationException();
+        }
+    }
+}
diff --git a/soundtrigger/2.4/cli/sthal_cli_2.4 b/soundtrigger/2.4/cli/sthal_cli_2.4
new file mode 100644
index 0000000..0801464
--- /dev/null
+++ b/soundtrigger/2.4/cli/sthal_cli_2.4
@@ -0,0 +1,7 @@
+#!/system/bin/sh
+# Script to start "sthal_cli_2.4" on the device
+#
+base=/system
+export CLASSPATH=$base/framework/sthal_cli_2.4.jar
+exec app_process $base/bin android.hardware.soundtrigger.V2_4.cli.SthalCli "$@"
+
diff --git a/soundtrigger/2.4/vts/functional/Android.bp b/soundtrigger/2.4/vts/functional/Android.bp
new file mode 100644
index 0000000..4b7ae91
--- /dev/null
+++ b/soundtrigger/2.4/vts/functional/Android.bp
@@ -0,0 +1,41 @@
+//
+// Copyright (C) 2021 The Android Open Source Project
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+
+package {
+    // See: http://go/android-license-faq
+    // A large-scale-change added 'default_applicable_licenses' to import
+    // all of the 'license_kinds' from "hardware_interfaces_license"
+    // to get the below license kinds:
+    //   SPDX-license-identifier-Apache-2.0
+    default_applicable_licenses: ["hardware_interfaces_license"],
+}
+
+cc_test {
+    name: "VtsHalSoundtriggerV2_4TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalSoundtriggerV2_4TargetTest.cpp"],
+    static_libs: [
+        "android.hardware.soundtrigger@2.0",
+        "android.hardware.soundtrigger@2.1",
+        "android.hardware.soundtrigger@2.2",
+        "android.hardware.soundtrigger@2.3",
+        "android.hardware.soundtrigger@2.4",
+    ],
+    test_suites: [
+        "general-tests",
+        "vts",
+    ],
+}
diff --git a/soundtrigger/2.4/vts/functional/VtsHalSoundtriggerV2_4TargetTest.cpp b/soundtrigger/2.4/vts/functional/VtsHalSoundtriggerV2_4TargetTest.cpp
new file mode 100644
index 0000000..13d7005
--- /dev/null
+++ b/soundtrigger/2.4/vts/functional/VtsHalSoundtriggerV2_4TargetTest.cpp
@@ -0,0 +1,84 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "SoundTriggerHidlHalTest"
+
+#include <android-base/logging.h>
+#include <android/hardware/audio/common/2.0/types.h>
+#include <android/hardware/soundtrigger/2.4/ISoundTriggerHwGlobalCallback.h>
+#include <android/hardware/soundtrigger/2.4/ISoundTriggerHw.h>
+#include <gtest/gtest.h>
+#include <hidl/GtestPrinter.h>
+#include <hidl/ServiceManagement.h>
+
+using ::android::sp;
+using ::android::hardware::Return;
+using ::android::hardware::Status;
+using ::android::hardware::soundtrigger::V2_4::ISoundTriggerHw;
+using ::android::hardware::soundtrigger::V2_4::ISoundTriggerHwGlobalCallback;
+
+/**
+ * Test class holding the instance of the SoundTriggerHW service to test.
+ * The passed parameter is the registered name of the implementing service
+ * supplied by INSTANTIATE_TEST_SUITE_P() call.
+ */
+class SoundTriggerHidlTest : public testing::TestWithParam<std::string> {
+public:
+    void SetUp() override {
+        mSoundtrigger = ISoundTriggerHw::getService(GetParam());
+
+        ASSERT_NE(mSoundtrigger, nullptr);
+        LOG(INFO) << "Test is remote " << mSoundtrigger->isRemote();
+    }
+
+protected:
+    sp<ISoundTriggerHw> mSoundtrigger;
+};
+
+/**
+ * Empty test is in place to ensure service is initialized.
+ * Due to the nature of SoundTrigger HAL providing an interface for
+ * proprietary or vendor specific implementations, limited testing on
+ * individual APIs is possible.
+ */
+TEST_P(SoundTriggerHidlTest, ServiceIsInstantiated) {}
+
+class GlobalCallback : public ISoundTriggerHwGlobalCallback {
+    Return<void> onResourcesAvailable() override {
+        return Status::ok();
+    }
+};
+
+/**
+ * Test ISoundTriggerHw::registerGlobalCallback method
+ *
+ * Verifies that:
+ * - the implementation implements the method
+ * - the method returns no error
+ */
+TEST_P(SoundTriggerHidlTest, RegisterGlobalCallback) {
+    Return<void> hidlReturn;
+    sp<ISoundTriggerHwGlobalCallback> callback = new GlobalCallback();
+    hidlReturn = mSoundtrigger->registerGlobalCallback(callback);
+    EXPECT_TRUE(hidlReturn.isOk());
+}
+
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(SoundTriggerHidlTest);
+
+INSTANTIATE_TEST_SUITE_P(
+        PerInstance, SoundTriggerHidlTest,
+        testing::ValuesIn(android::hardware::getAllHalInstanceNames(ISoundTriggerHw::descriptor)),
+        android::hardware::PrintInstanceNameToString);
diff --git a/soundtrigger/aidl/Android.bp b/soundtrigger/aidl/Android.bp
new file mode 100644
index 0000000..fcccc27
--- /dev/null
+++ b/soundtrigger/aidl/Android.bp
@@ -0,0 +1,37 @@
+package {
+    // See: http://go/android-license-faq
+    // A large-scale-change added 'default_applicable_licenses' to import
+    // all of the 'license_kinds' from "hardware_interfaces_license"
+    // to get the below license kinds:
+    //   SPDX-license-identifier-Apache-2.0
+    default_applicable_licenses: ["hardware_interfaces_license"],
+}
+
+aidl_interface {
+    name: "android.hardware.soundtrigger3",
+    vendor_available: true,
+    flags: ["-Werror", "-Weverything", ],
+    srcs: [
+        "android/hardware/soundtrigger3/ISoundTriggerHw.aidl",
+        "android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl",
+        "android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl",
+    ],
+    stability: "vintf",
+    imports: [
+        "android.media.soundtrigger.types",
+    ],
+    backend: {
+        cpp: {
+            // prefer NDK backend which can be used anywhere
+            enabled: false,
+        },
+        java: {
+            sdk_version: "module_current",
+        },
+        ndk: {
+            vndk: {
+                enabled: true,
+            },
+        },
+    },
+}
diff --git a/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHw.aidl b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHw.aidl
new file mode 100644
index 0000000..bbfe7d9
--- /dev/null
+++ b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHw.aidl
@@ -0,0 +1,48 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL file. Do not edit it manually. There are
+// two cases:
+// 1). this is a frozen version file - do not edit this in any case.
+// 2). this is a 'current' file. If you make a backwards compatible change to
+//     the interface (from the latest frozen version), the build system will
+//     prompt you to update this file with `m <name>-update-api`.
+//
+// You must not make a backward incompatible change to any AIDL file built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.soundtrigger3;
+@VintfStability
+interface ISoundTriggerHw {
+  android.media.soundtrigger.Properties getProperties();
+  void registerGlobalCallback(in android.hardware.soundtrigger3.ISoundTriggerHwGlobalCallback callback);
+  int loadSoundModel(in android.media.soundtrigger.SoundModel soundModel, in android.hardware.soundtrigger3.ISoundTriggerHwCallback callback);
+  int loadPhraseSoundModel(in android.media.soundtrigger.PhraseSoundModel soundModel, in android.hardware.soundtrigger3.ISoundTriggerHwCallback callback);
+  void unloadSoundModel(in int modelHandle);
+  void startRecognition(in int modelHandle, in int deviceHandle, in int ioHandle, in android.media.soundtrigger.RecognitionConfig config);
+  void stopRecognition(in int modelHandle);
+  void forceRecognitionEvent(in int modelHandle);
+  @nullable android.media.soundtrigger.ModelParameterRange queryParameter(in int modelHandle, in android.media.soundtrigger.ModelParameter modelParam);
+  int getParameter(in int modelHandle, in android.media.soundtrigger.ModelParameter modelParam);
+  void setParameter(in int modelHandle, in android.media.soundtrigger.ModelParameter modelParam, in int value);
+}
diff --git a/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl
new file mode 100644
index 0000000..152dfed
--- /dev/null
+++ b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl
@@ -0,0 +1,40 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL file. Do not edit it manually. There are
+// two cases:
+// 1). this is a frozen version file - do not edit this in any case.
+// 2). this is a 'current' file. If you make a backwards compatible change to
+//     the interface (from the latest frozen version), the build system will
+//     prompt you to update this file with `m <name>-update-api`.
+//
+// You must not make a backward incompatible change to any AIDL file built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.soundtrigger3;
+@VintfStability
+interface ISoundTriggerHwCallback {
+  void modelUnloaded(in int model);
+  void phraseRecognitionCallback(in int model, in android.media.soundtrigger.PhraseRecognitionEvent event);
+  void recognitionCallback(in int model, in android.media.soundtrigger.RecognitionEvent event);
+}
diff --git a/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl
new file mode 100644
index 0000000..6dfee9f
--- /dev/null
+++ b/soundtrigger/aidl/aidl_api/android.hardware.soundtrigger3/current/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl
@@ -0,0 +1,38 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+///////////////////////////////////////////////////////////////////////////////
+// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE.                          //
+///////////////////////////////////////////////////////////////////////////////
+
+// This file is a snapshot of an AIDL file. Do not edit it manually. There are
+// two cases:
+// 1). this is a frozen version file - do not edit this in any case.
+// 2). this is a 'current' file. If you make a backwards compatible change to
+//     the interface (from the latest frozen version), the build system will
+//     prompt you to update this file with `m <name>-update-api`.
+//
+// You must not make a backward incompatible change to any AIDL file built
+// with the aidl_interface module type with versions property set. The module
+// type is used to build AIDL files in a way that they can be used across
+// independently updatable components of the system. If a device is shipped
+// with such a backward incompatible change, it has a high risk of breaking
+// later when a module using the interface is updated, e.g., Mainline modules.
+
+package android.hardware.soundtrigger3;
+@VintfStability
+interface ISoundTriggerHwGlobalCallback {
+  void onResourcesAvailable();
+}
diff --git a/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHw.aidl b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHw.aidl
new file mode 100644
index 0000000..2a3fc64
--- /dev/null
+++ b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHw.aidl
@@ -0,0 +1,269 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger3;
+
+import android.hardware.soundtrigger3.ISoundTriggerHwCallback;
+import android.hardware.soundtrigger3.ISoundTriggerHwGlobalCallback;
+
+import android.media.soundtrigger.PhraseSoundModel;
+import android.media.soundtrigger.Properties;
+import android.media.soundtrigger.RecognitionConfig;
+import android.media.soundtrigger.SoundModel;
+import android.media.soundtrigger.ModelParameter;
+import android.media.soundtrigger.ModelParameterRange;
+import android.media.soundtrigger.Properties;
+import android.media.soundtrigger.RecognitionConfig;
+
+/**
+ * SoundTrigger HAL interface. Used for hardware recognition of hotwords
+ * and other sounds.
+ *
+ * Basic usage:
+ * ============
+ * ISoundTriggerHw supports the ability to have one of more  detection sessions running at a given
+ * time, and listening to acoustic events. The basic flow of setting up such a session is:
+ * - Load a model using loadSoundModel() or loadPhraseSoundModel(). The provided model object would
+ *   indicate the (implementation-specific) detection algorithm (engine) to use, as well as any
+ *   parameters applicable for this agorithm. Upon success, those methods would return a handle
+ *   which will be used to reference this model in subsequent calls.
+ * - Once the model had been successfully loaded, detection can begin by calling startRecognition().
+ * - Recognition will continue running in the background until one of the following events occurs:
+ *   - stopRecognition() has been called on this model.
+ *   - A detection has occurred.
+ *   - Detection was aborted, typically for resource constraints, for example, when a higher-
+ *     priority use-case has been initiated.
+ * - In the latter two cases, a recognition event will be sent via a the callback interface that was
+ *   registered by the client upon loading. In either case, after any of these events occur, the
+ *   detection becomes inactive and no more recognition callbacks are allowed.
+ * - The same model maybe started again at a later time, and this process may repeat as many times
+ *   as needed.
+ * - Finally, an inactive model that is no longer needed may be unloaded via unloadModel().
+ *
+ * Important notes about the threading model:
+ * ==========================================
+ * Both this interface and the corresponding callback interface use a synchronous calling
+ * convention. This model comes with some advantages, but also with some risks of deadlocks if the
+ * implementation does not handle this correctly. Please consider the following:
+ * - After stopRecognition() returns, no more recognition events for that model may be sent. This
+ *   implies that any queues holding such events must be flushed before the call returns and that
+ *   may imply that callback from the HAL to the client are done while stopRecognition() is blocked.
+ *   This is OK, and supported by the framework.
+ * - Similarly, the same relationship applies between unloadModel() and subsequent callbacks to
+ *   modelUnloaded().
+ * - Other than these two cases, calls into the HAL *MAY NOT* block on callbacks from the HAL, or
+ *   else deadlock conditions may result, which may be handled by rebooting of the HAL process and
+ *   cause service outages.
+ *
+ * Due to the asynchronous nature of recognition events and preemptive model unloading, the HAL must
+ * correctly handle requests that would have been valid before an event has been delivered, but
+ * became moot as result of the event. Namely:
+ * - stopRecognition() may be called on a model that has already delivered an event and became
+ *   inactive as a result. The HAL must return a successful return code in this case.
+ * - Furthermore, if a model is preemptively unloaded after it triggers (typically, this would
+ *   happen when it is first aborted and immediately preemptively unloaded), stopRecognition() may
+ *   be called on it. The HAL must return successfully in this case.
+ * - startRecognition() may be called on a model that has been preemptively unloaded. In this case,
+ *   the HAL must signal a ServiceSpecificException(RESOURCE_CONTENTION) to indicate that the
+ *   operation is temporarily unsuccessful.
+ * - unloadSoundModel() may be called on a model that has been preemptively unloaded. The HAL must
+ *   return a successful return code in this case. This also implies that model handles should
+ *   generally not be reused until explicitly unloaded. To avoid the rare possibility of running out
+ *   of handles, the framework may call unloadModel() on models that have been preemptively unloaded
+ *   by the HAL.
+ *
+ * Important notes about resource constraints and concurrency
+ * =========================================================
+ * Up until this version, the framework would enforce concurrency constraints expressed by the
+ * Properties presented by the soundtrigger instance. These include constraints on the maximum
+ * amount of models that can be loaded at the same time and on running recognition while capturing
+ * from the microphone.
+ * This version changes the approach for how these constraints are modeled, both offering the HAL
+ * implementation more flexibility and simplifying the framework's job in enforcing these
+ * limitations. Note that there is no change for how the framework behaves with earlier versions,
+ * everything described below only applies to this version and onward.
+ * The way this is achieved is as following:
+ * - The framework will no longer enforce constraints on concurrent loading of models, as expressed
+ *   in the Properties.maxSoundModels field (this property is merely a hint at this point and may be
+ *   deprecated in the future), or any other implicit constraints.
+ * - The framework will no longer enforce constraints on concurrency of audio recording and
+ *   soundtrigger operation, as expressed in the Properties.concurrentCapture field (this property
+ *   is merely a hint at this point and may be deprecated in the future).
+ * - The HAL implementation is free to reject loading of any model at any time by having the
+ *   respective load*() method signal a ServiceSpecificException(RESOURCE_CONTENTION).
+ * - The HAL implementation is free to reject starting of any model at any time by having the
+ *   respective start*() method signal a ServiceSpecificException(RESOURCE_CONTENTION).
+ * - The HAL implementation is free to preemptively stop a previously started model at its own
+ *   discretion (for example, if a higher priority use-case which cannot coexist with detection
+ *   has been requested). The HAL must notify the framework of the preemption by sending a
+ *   recognition event with an `ABORTED` status. The implementation must NOT attempt to restart the
+ *   recognition automatically when conditions change.
+ * - The HAL implementation is free to preemptively unload a previously loaded model at its own
+ *   discretion (for example, if a higher-priority model is being loaded and the two cannot
+ *   coexist). When doing so, it must first abort the detection if active (as per above) and then
+ *   notify the framework of the unload using the modelUnloaded() callback.
+ * - When conditions change, such that a model that couldn't previously load or start or that had
+ *   previously been preemptively stopped or unloaded, the HAL must notify the framework via the
+ *   newly added onResourcesAvailable() callback. This callback is not a guarantee that any
+ *   operation would now succeed, but merely a hint that retrying something that had previously
+ *   failed, now MAY succeed. Until this callback is invoked, the client may assume that any
+ *   operation that had previously failed or aborted would still fail if retried, so the
+ *   implementation should not forget to deliver it.
+ *   There are no guarantees regarding how the framework may respond to this event and the order in
+ *   which it may choose to reload/restart its models. Typically, as result of this event the
+ *   framework will make a single attempt per model to bring this model to its desired state
+ *   (loaded, started).
+ */
+@VintfStability
+interface ISoundTriggerHw {
+    /**
+     * Retrieve implementation properties.
+     *
+     * @return A Properties structure containing implementation description and capabilities.
+     */
+    Properties getProperties();
+
+    /**
+     * This will get called at most once per every attachment to the service.
+     *
+     * All events not tied to a specific model should go through this callback.
+     *
+     * @param callback An interface to receive global event callbacks.
+     */
+    void registerGlobalCallback(in ISoundTriggerHwGlobalCallback callback);
+
+    /**
+     * Load a sound model. Once loaded, recognition of this model can be started and stopped.
+     *
+     * @param soundModel A SoundModel structure describing the sound model to load.
+     * @param callback The callback interface on which the recognitionCallback()
+     *     method will be called upon completion and modelUnloaded() upon preemptive unload.
+     * @return A unique handle assigned by the HAL for use by the client when controlling
+     *     activity for this sound model.
+     * @throws ServiceSpecificException(RESOURCE_CONTENTION) if the model cannot be loaded due
+     *     to resource constraints. This is typically a temporary condition and the client may
+     *     retry after the onResourcesAvailable() global callback is invoked.
+     */
+    int loadSoundModel(in SoundModel soundModel, in ISoundTriggerHwCallback callback);
+
+    /**
+     * Load a key phrase sound model. Once loaded, recognition of this model can be started and
+     * stopped.
+     *
+     * @param soundModel A PhraseSoundModel structure describing the sound model to load.
+     * @param callback The callback interface on which the phraseRecognitionCallback() method will
+     *     be called upon completion and modelUnloaded() upon preempted unload.
+     * @return A unique handle assigned by the HAL for use by the framework when controlling
+     *     activity for this sound model.
+     * @throws ServiceSpecificException(RESOURCE_CONTENTION) if the model cannot be loaded due
+     *     to resource constraints. This is typically a temporary condition and the client may
+     *     retry after the onResourcesAvailable() global callback is invoked.
+     */
+    int loadPhraseSoundModel(in PhraseSoundModel soundModel, in ISoundTriggerHwCallback callback);
+
+    /**
+     * Unload a sound model. A sound model may be unloaded to free up resources and make room for a
+     * new one to overcome implementation limitations.
+     * This call is idempotent, to avoid any race conditions.
+     *
+     * @param modelHandle the handle of the sound model to unload.
+     */
+    void unloadSoundModel(in int modelHandle);
+
+    /**
+     * Start recognition on a given model.
+     * This must be called on a model that is in the stopped state.
+     * The state of this model becomes active and will remain so until explicitly stopped, or a
+     * recognition event had been delivered to the client.
+     *
+     * @param modelHandle the handle of the sound model to use for recognition
+     * @param deviceHandle The handle of the audio device to be used for recognition, as declared by
+     *     the audio subsystem.
+     * @param ioHandle A handle assigned by the framework, which will later be used to retrieve
+     *     an audio stream associated with this recognition session.
+     * @param config A RecognitionConfig structure containing attributes of the recognition to
+     *     perform.
+      * @throws ServiceSpecificException(RESOURCE_CONTENTION) if the model cannot be started due
+     *     to resource constraints. This is typically a temporary condition and the client may
+     *     retry after the onResourcesAvailable() global callback is invoked.
+    */
+    void startRecognition(in int modelHandle, in int deviceHandle,
+                          in int ioHandle, in RecognitionConfig config);
+
+    /**
+     * Stop recognition on a given model.
+     * This call is idempotent, to avoid any race conditions.
+     *
+     * @param modelHandle The handle of the sound model to use for recognition
+     */
+    void stopRecognition(in int modelHandle);
+
+    /**
+     * Request a recognition event to be generated.
+     * The model must be in the started state and will remain started after the event is sent.
+     * The model state is returned asynchronously as a RecognitionEvent via the callback that was
+     * registered upon loading. That event must have a RecognitionStatus.FORCED status.
+     *
+     * @param modelHandle The handle of the sound model whose state is being
+     *     queried.
+     */
+    void forceRecognitionEvent(in int modelHandle);
+
+    /**
+     * Get supported parameter attributes with respect to the provided model handle.
+     * Model parameters are used to query/control model-specific detection behavior during a
+     * detection session.
+     * Along with determining the valid range, this API is also used to determine if a given
+     * parameter ID is supported at all by the modelHandle for use with getParameter() and
+     * setParameter() APIs.
+     *
+     * @param modelHandle The sound model handle indicating which model to query.
+     * @param modelParam Parameter to set which will be validated against the ModelParameter type.
+     * @return This structure indicates supported attributes of the parameter for the given model
+     *      handle. If the parameter is not supported, null is returned.
+     */
+    @nullable ModelParameterRange queryParameter(in int modelHandle, in ModelParameter modelParam);
+
+    /**
+     * Get a model specific parameter.
+     * If the value has not been set, a default value is returned. See ModelParameter for parameter
+     * default values.
+     * The caller must check if the handle supports the parameter via the queryParameter API prior
+     * to calling this method.
+     *
+     * @param modelHandle The sound model associated with given modelParam
+     * @param modelParam Parameter to set which will be validated against the ModelParameter type.
+     *     Not putting ModelParameter type directly in the definition and validating internally
+     *     allows for forward compatibility.
+     * @return Value set to the requested parameter.
+     */
+    int getParameter(in int modelHandle, in ModelParameter modelParam);
+
+    /**
+     * Set a model specific parameter with the given value.
+     * This parameter will keep its value for the duration the model is loaded regardless of
+     * starting and stopping recognition. Once the model is unloaded, the value will be lost.
+     * The caller must check if the handle supports the parameter via the queryParameter API prior
+     * to calling this method.
+     *
+     * @param modelHandle The sound model handle indicating which model to modify parameters
+     * @param modelParam Parameter to set which will be validated against the ModelParameter type.
+     *     Not putting ModelParameter type directly in the definition and validating internally
+     *     allows for forward compatibility.
+     * @param value The value to set for the given model parameter.
+     */
+    void setParameter(in int modelHandle, in ModelParameter modelParam, in int value);
+}
diff --git a/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl
new file mode 100644
index 0000000..049ca65
--- /dev/null
+++ b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwCallback.aidl
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger3;
+
+import android.media.soundtrigger.PhraseRecognitionEvent;
+import android.media.soundtrigger.RecognitionEvent;
+
+/**
+ * SoundTrigger HAL per-model Callback interface.
+ */
+@VintfStability
+interface ISoundTriggerHwCallback {
+    /**
+     * Callback method called by the HAL when a model has been unloaded at the HAL implementation's
+     * discretion.
+     * This event may only be delivered when the model state is 'stopped'.
+     * This event is NOT sent as part of an unload sequence initiated by the client.
+     *
+     * @param model The model handle.
+     */
+    void modelUnloaded(in int model);
+
+    /**
+     * Callback method called by the HAL when the sound recognition triggers for a key phrase sound
+     * model.
+     * This event may only be delivered when the model state is 'started'.
+     * Unless the status of the event is RecognitionStatus.FORCED, this event indicates that the
+     * state of this model has become 'stopped'.
+     *
+     * @param event A RecognitionEvent structure containing detailed results of the recognition
+     *     triggered
+     */
+    void phraseRecognitionCallback(in int model, in PhraseRecognitionEvent event);
+
+    /**
+     * Callback method called by the HAL when the sound recognition triggers.
+     * This event may only be delivered when the model state is 'started'.
+     * Unless the status of the event is RecognitionStatus.FORCED, this event indicates that the
+     * state of this model has become 'stopped'.
+     *
+     * @param event A RecognitionEvent structure containing detailed results of the recognition
+     *     triggered
+     */
+    void recognitionCallback(in int model, in RecognitionEvent event);
+}
diff --git a/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl
new file mode 100644
index 0000000..d6d8630
--- /dev/null
+++ b/soundtrigger/aidl/android/hardware/soundtrigger3/ISoundTriggerHwGlobalCallback.aidl
@@ -0,0 +1,34 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.soundtrigger3;
+
+/**
+ * SoundTrigger HAL callback interface for events not associated with a particular model.
+ */
+@VintfStability
+interface ISoundTriggerHwGlobalCallback {
+    /**
+     * Callback method called by the HAL whenever internal conditions have been made available, such
+     * that a call that would previously have failed with an -EBUSY status may now succeed.
+     * There is no guarantee that any call would succeed following this event. It is merely a hint
+     * to the client that it may retry.
+     * Conversely, any call that have failed previously with a
+     * ServiceSpecificException(RESOURCE_CONTENTION) is guaranteed to fail again if retried, until
+     * this callback is delivered.
+     */
+    void onResourcesAvailable();
+}
diff --git a/soundtrigger/aidl/cli/Android.bp b/soundtrigger/aidl/cli/Android.bp
new file mode 100644
index 0000000..e8999ff
--- /dev/null
+++ b/soundtrigger/aidl/cli/Android.bp
@@ -0,0 +1,17 @@
+package {
+    // See: http://go/android-license-faq
+    // A large-scale-change added 'default_applicable_licenses' to import
+    // all of the 'license_kinds' from "hardware_interfaces_license"
+    // to get the below license kinds:
+    //   SPDX-license-identifier-Apache-2.0
+    default_applicable_licenses: ["hardware_interfaces_license"],
+}
+
+java_binary {
+    name: "sthal_cli_3",
+    wrapper: "sthal_cli_3",
+    srcs: ["java/**/*.java"],
+    static_libs: [
+        "android.hardware.soundtrigger3-V1-java",
+    ],
+}
diff --git a/soundtrigger/aidl/cli/OWNERS b/soundtrigger/aidl/cli/OWNERS
new file mode 100644
index 0000000..e21b66e
--- /dev/null
+++ b/soundtrigger/aidl/cli/OWNERS
@@ -0,0 +1 @@
+include /media/java/android/media/soundtrigger_middleware/OWNERS
diff --git a/soundtrigger/aidl/cli/java/android/hardware/soundtrigger3/cli/SthalCli.java b/soundtrigger/aidl/cli/java/android/hardware/soundtrigger3/cli/SthalCli.java
new file mode 100644
index 0000000..d3e1aa7
--- /dev/null
+++ b/soundtrigger/aidl/cli/java/android/hardware/soundtrigger3/cli/SthalCli.java
@@ -0,0 +1,351 @@
+/*
+ * Copyright 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package android.hardware.soundtrigger3.cli;
+
+import android.annotation.NonNull;
+import android.hardware.soundtrigger3.ISoundTriggerHw;
+import android.hardware.soundtrigger3.ISoundTriggerHwCallback;
+import android.hardware.soundtrigger3.ISoundTriggerHwGlobalCallback;
+import android.media.audio.common.AudioConfig;
+import android.media.soundtrigger.ConfidenceLevel;
+import android.media.soundtrigger.ModelParameterRange;
+import android.media.soundtrigger.PhraseRecognitionEvent;
+import android.media.soundtrigger.PhraseRecognitionExtra;
+import android.media.soundtrigger.PhraseSoundModel;
+import android.media.soundtrigger.Properties;
+import android.media.soundtrigger.RecognitionConfig;
+import android.media.soundtrigger.RecognitionEvent;
+import android.media.soundtrigger.RecognitionMode;
+import android.media.soundtrigger.SoundModel;
+import android.media.soundtrigger.SoundModelType;
+import android.os.HwBinder;
+import android.os.ParcelFileDescriptor;
+import android.os.RemoteException;
+import android.os.ServiceManager;
+import android.os.SystemProperties;
+
+import java.util.Scanner;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentMap;
+
+/**
+ * This is a quick-and-dirty sound trigger HAL console mock.
+ *
+ * It would only work on userdebug builds.
+ *
+ * When this app is started, it will initially:
+ * - Register a ISoundTriggerHw HAL with an instance name "mock".
+ * - Set a sysprop that tells SoundTriggerMiddlewareService to try to connect to the mock instance
+ * rather than the default one.
+ * - Reboot the real (default) HAL.
+ *
+ * In response to that, SoundTriggerMiddlewareService is going to connect to the mock HAL and resume
+ * normal operation.
+ *
+ * Our mock HAL will print to stdout every call it receives as well as expose a basic set of
+ * operations for sending event callbacks to the client. This allows us to simulate the frameworks
+ * behavior in response to different HAL behaviors.
+ */
+public class SthalCli {
+    private static SoundTriggerImpl mService;
+    private static final Scanner scanner = new Scanner(System.in);
+
+    public static void main(String[] args) {
+        try {
+            printUsage();
+
+            System.out.println("Registering mock STHAL");
+            mService = new SoundTriggerImpl();
+            // This allows us to register the service, even if it is not declared in the manifest.
+            mService.forceDowngradeToSystemStability();
+            ServiceManager.addService(ISoundTriggerHw.class.getCanonicalName() + "/mock", mService);
+
+            System.out.println("Rebooting STHAL");
+            SystemProperties.set("debug.soundtrigger_middleware.use_mock_hal", "3");
+            SystemProperties.set("sys.audio.restart.hal", "1");
+
+            while (processCommand()) ;
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            cleanup();
+        }
+    }
+
+    private static void cleanup() {
+        System.out.println("Cleaning up.");
+        SystemProperties.set("debug.soundtrigger_middleware.use_mock_hal", null);
+        HwBinder.setTrebleTestingOverride(false);
+    }
+
+    private static boolean processCommand() {
+        String line = scanner.nextLine();
+        String[] tokens = line.split("\\s+");
+        if (tokens.length < 1) {
+            return false;
+        }
+        switch (tokens[0]) {
+            case "q":
+                return false;
+
+            case "a":
+                mService.sendOnResourcesAvailable();
+                return true;
+
+            case "u":
+                mService.sendModelUnloaded(Integer.parseInt(tokens[1]));
+                return true;
+
+            case "r":
+                mService.sendRecognitionEvent(Integer.parseInt(tokens[1]),
+                        Integer.parseInt(tokens[2]));
+                return true;
+
+            case "p":
+                mService.sendPhraseRecognitionEvent(Integer.parseInt(tokens[1]),
+                        Integer.parseInt(tokens[2]));
+                return true;
+
+            case "d":
+                mService.dumpModels();
+                return true;
+
+            default:
+                printUsage();
+                return true;
+        }
+    }
+
+    private static void printUsage() {
+        System.out.print(
+                "Sound Trigger HAL v3 mock\n"
+                + "Available commands:\n"
+                + "h - help\n"
+                + "q - quit\n"
+                + "a - send onResourcesAvailable event\n"
+                + "u <model> - send modelUnloaded event\n"
+                + "r <model> <status> - send recognitionEvent\n"
+                + "p <model> <status> - send phraseRecognitionEvent\n"
+                + "d - dump models\n");
+    }
+
+    private static class SoundTriggerImpl extends ISoundTriggerHw.Stub {
+        static class Model {
+            final ISoundTriggerHwCallback callback;
+            final SoundModel model;
+            final PhraseSoundModel phraseModel;
+            public RecognitionConfig config = null;
+
+            Model(ISoundTriggerHwCallback callback, SoundModel model) {
+                this.callback = callback;
+                this.model = model;
+                this.phraseModel = null;
+            }
+
+            Model(ISoundTriggerHwCallback callback, PhraseSoundModel model) {
+                this.callback = callback;
+                this.model = null;
+                this.phraseModel = model;
+            }
+        }
+
+        private ISoundTriggerHwGlobalCallback mGlobalCallback;
+        private final ConcurrentMap<Integer, Model> mLoadedModels = new ConcurrentHashMap<>();
+        private int mHandleCounter = 1;
+
+        public void dumpModels() {
+            mLoadedModels.forEach((handle, model) -> {
+                System.out.println("+++ Model " + handle);
+                System.out.println("    config = " + model.config);
+                RecognitionConfig recognitionConfig = model.config;
+                if (recognitionConfig != null) {
+                    System.out.println("    ACTIVE recognitionConfig = " + recognitionConfig);
+                } else {
+                    System.out.println("    INACTIVE");
+                }
+            });
+        }
+
+        public void sendOnResourcesAvailable() {
+            if (mGlobalCallback != null) {
+                try {
+                    mGlobalCallback.onResourcesAvailable();
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+
+        public void sendRecognitionEvent(int modelHandle, int status) {
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null && model.config != null) {
+                RecognitionEvent event = new RecognitionEvent();
+                event.type = SoundModelType.GENERIC;
+                event.status = status;
+                event.captureAvailable = true;
+                event.audioConfig.channelMask = 16;
+                event.audioConfig.format = 1;
+                event.audioConfig.sampleRateHz = 16000;
+                try {
+                    model.callback.recognitionCallback(modelHandle, event);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+                model.config = null;
+            }
+        }
+
+        public void sendPhraseRecognitionEvent(int modelHandle, int status) {
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null && model.config != null) {
+                PhraseRecognitionEvent event = new PhraseRecognitionEvent();
+                event.common = new RecognitionEvent();
+                event.common.type = SoundModelType.KEYPHRASE;
+                event.common.status = status;
+                event.common.captureAvailable = true;
+                event.common.audioConfig = new AudioConfig();
+                event.common.audioConfig.channelMask = 16;
+                event.common.audioConfig.format = 1;
+                event.common.audioConfig.sampleRateHz = 16000;
+                if (model.phraseModel.phrases.length > 0) {
+                    PhraseRecognitionExtra extra = new PhraseRecognitionExtra();
+                    extra.id = model.phraseModel.phrases[0].id;
+                    extra.confidenceLevel = 100;
+                    extra.recognitionModes = model.phraseModel.phrases[0].recognitionModes;
+                    extra.levels = new ConfidenceLevel[0];
+                    event.phraseExtras = new PhraseRecognitionExtra[]{extra};
+                } else {
+                    event.phraseExtras = new PhraseRecognitionExtra[0];
+                }
+                try {
+                    model.callback.phraseRecognitionCallback(modelHandle, event);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+                model.config = null;
+            }
+        }
+
+        public void sendModelUnloaded(int modelHandle) {
+            Model model = mLoadedModels.remove(modelHandle);
+            if (model != null) {
+                try {
+                    model.callback.modelUnloaded(modelHandle);
+                } catch (RemoteException e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+
+        @Override
+        public void registerGlobalCallback(ISoundTriggerHwGlobalCallback callback) {
+            System.out.println("registerGlobalCallback()");
+            mGlobalCallback = callback;
+        }
+
+        @Override
+        public int loadSoundModel(SoundModel soundModel, ISoundTriggerHwCallback callback) {
+            int handle = mHandleCounter++;
+            System.out.printf("loadSoundModel(soundModel=%s) -> %d%n", soundModel, handle);
+            mLoadedModels.put(handle, new Model(callback, soundModel));
+            return handle;
+        }
+
+        @Override
+        public int loadPhraseSoundModel(PhraseSoundModel soundModel,
+                ISoundTriggerHwCallback callback) {
+            int handle = mHandleCounter++;
+            System.out.printf("loadPhraseSoundModel(soundModel=%s) -> %d%n", soundModel, handle);
+            mLoadedModels.put(handle, new Model(callback, soundModel));
+            return handle;
+        }
+
+        @Override
+        public void startRecognition(int modelHandle, int deviceHandle, int ioHandle,
+                RecognitionConfig config) {
+            System.out.printf("startRecognition(modelHandle=%d, deviceHandle=%d, ioHandle=%d)%n",
+                    modelHandle, deviceHandle, ioHandle);
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null) {
+                model.config = config;
+            }
+        }
+
+        @Override
+        public Properties getProperties() {
+            System.out.println("getProperties()");
+            Properties properties = new Properties();
+            properties.implementor = "Android";
+            properties.description = "Mock STHAL";
+            properties.maxSoundModels = 2;
+            properties.maxKeyPhrases = 1;
+            properties.recognitionModes =
+                    RecognitionMode.VOICE_TRIGGER | RecognitionMode.GENERIC_TRIGGER;
+            return properties;
+        }
+
+        @Override
+        public ModelParameterRange queryParameter(int modelHandle, int modelParam) {
+            System.out.printf("queryParameter(modelHandle=%d, modelParam=%d)%n", modelHandle,
+                    modelParam);
+            return null;
+        }
+
+        @Override
+        public void forceRecognitionEvent(int modelHandle) {
+            System.out.printf("getModelState(modelHandle=%d)%n", modelHandle);
+        }
+
+        @Override
+        public void unloadSoundModel(int modelHandle) {
+            System.out.printf("unloadSoundModel(modelHandle=%d)%n", modelHandle);
+        }
+
+        @Override
+        public void stopRecognition(int modelHandle) {
+            System.out.printf("stopRecognition(modelHandle=%d)%n", modelHandle);
+            Model model = mLoadedModels.get(modelHandle);
+            if (model != null) {
+                model.config = null;
+            }
+        }
+
+        @Override
+        public int handleShellCommand(@NonNull ParcelFileDescriptor in,
+                @NonNull ParcelFileDescriptor out, @NonNull ParcelFileDescriptor err,
+                @NonNull String[] args) {
+            if (args.length > 0) {
+                switch (args[0]) {
+                    case "reboot":
+                        System.out.println("Received a reboot request. Exiting.");
+                        cleanup();
+                        System.exit(1);
+                }
+            }
+            return 0;
+        }
+
+        @Override
+        public void setParameter(int modelHandle, int modelParam, int value) {
+            throw new IllegalArgumentException();
+        }
+
+        @Override
+        public int getParameter(int modelHandle, int modelParam) {
+            throw new IllegalArgumentException();
+        }
+    }
+}
diff --git a/soundtrigger/aidl/cli/sthal_cli_3 b/soundtrigger/aidl/cli/sthal_cli_3
new file mode 100644
index 0000000..f157c50
--- /dev/null
+++ b/soundtrigger/aidl/cli/sthal_cli_3
@@ -0,0 +1,6 @@
+#!/system/bin/sh
+# Script to start "sthal_cli_3" on the device
+#
+base=/system
+export CLASSPATH=$base/framework/sthal_cli_3.jar
+exec app_process $base/bin android.hardware.soundtrigger3.cli.SthalCli "$@"
diff --git a/tetheroffload/control/1.1/ITetheringOffloadCallback.hal b/tetheroffload/control/1.1/ITetheringOffloadCallback.hal
index 7a7d56d..9c74641 100644
--- a/tetheroffload/control/1.1/ITetheringOffloadCallback.hal
+++ b/tetheroffload/control/1.1/ITetheringOffloadCallback.hal
@@ -26,8 +26,8 @@
 interface ITetheringOffloadCallback extends @1.0::ITetheringOffloadCallback {
     /**
      * Called when an asynchronous event is generated by the hardware
-     * management process. Events which are common for 1.0 and 1.1 HAL
-     * MUST be fired on both 1.0 and 1.1 callback.
+     * management process. Implementations that report events via this callback
+     * should not invoke onEvent of 1.0 HAL.
      */
     oneway onEvent_1_1(OffloadCallbackEvent event);
 };
diff --git a/tv/tuner/1.0/vts/functional/AndroidTest.xml b/tv/tuner/1.0/vts/functional/AndroidTest.xml
index 3a2db27..18c2b59 100644
--- a/tv/tuner/1.0/vts/functional/AndroidTest.xml
+++ b/tv/tuner/1.0/vts/functional/AndroidTest.xml
@@ -30,5 +30,6 @@
     <test class="com.android.tradefed.testtype.GTest" >
         <option name="native-test-device-path" value="/data/local/tmp" />
         <option name="module-name" value="VtsHalTvTunerV1_0TargetTest" />
+        <option name="native-test-timeout" value="30m" />
     </test>
 </configuration>
diff --git a/tv/tuner/1.1/vts/functional/AndroidTest.xml b/tv/tuner/1.1/vts/functional/AndroidTest.xml
index 28f95db..3e6878c 100644
--- a/tv/tuner/1.1/vts/functional/AndroidTest.xml
+++ b/tv/tuner/1.1/vts/functional/AndroidTest.xml
@@ -29,5 +29,6 @@
     <test class="com.android.tradefed.testtype.GTest" >
         <option name="native-test-device-path" value="/data/local/tmp" />
         <option name="module-name" value="VtsHalTvTunerV1_1TargetTest" />
+        <option name="native-test-timeout" value="30m" />
     </test>
 </configuration>
diff --git a/tv/tuner/1.1/vts/functional/FilterTests.cpp b/tv/tuner/1.1/vts/functional/FilterTests.cpp
index 3bcf32a..4dff853 100644
--- a/tv/tuner/1.1/vts/functional/FilterTests.cpp
+++ b/tv/tuner/1.1/vts/functional/FilterTests.cpp
@@ -306,8 +306,12 @@
             android::hardware::tv::tuner::V1_1::IFilter::castFrom(mFilters[filterId]);
     if (filter_v1_1 != NULL) {
         status = filter_v1_1->configureMonitorEvent(monitorEventTypes);
-        mFilterCallbacks[filterId]->testFilterScramblingEvent();
-        mFilterCallbacks[filterId]->testFilterIpCidEvent();
+        if (monitorEventTypes & DemuxFilterMonitorEventType::SCRAMBLING_STATUS) {
+            mFilterCallbacks[filterId]->testFilterScramblingEvent();
+        }
+        if (monitorEventTypes & DemuxFilterMonitorEventType::IP_CID_CHANGE) {
+            mFilterCallbacks[filterId]->testFilterIpCidEvent();
+        }
     } else {
         ALOGW("[vts] Can't cast IFilter into v1_1.");
         return failure();
diff --git a/tv/tuner/1.1/vts/functional/FilterTests.h b/tv/tuner/1.1/vts/functional/FilterTests.h
index 59611fa..72c8129 100644
--- a/tv/tuner/1.1/vts/functional/FilterTests.h
+++ b/tv/tuner/1.1/vts/functional/FilterTests.h
@@ -57,6 +57,7 @@
 using android::hardware::tv::tuner::V1_1::AvStreamType;
 using android::hardware::tv::tuner::V1_1::DemuxFilterEventExt;
 using android::hardware::tv::tuner::V1_1::DemuxFilterMonitorEvent;
+using android::hardware::tv::tuner::V1_1::DemuxFilterMonitorEventType;
 using android::hardware::tv::tuner::V1_1::IFilterCallback;
 using android::hardware::tv::tuner::V1_1::ITuner;
 
diff --git a/tv/tuner/1.1/vts/functional/VtsHalTvTunerV1_1TargetTest.cpp b/tv/tuner/1.1/vts/functional/VtsHalTvTunerV1_1TargetTest.cpp
index e70c320..1a9def8 100644
--- a/tv/tuner/1.1/vts/functional/VtsHalTvTunerV1_1TargetTest.cpp
+++ b/tv/tuner/1.1/vts/functional/VtsHalTvTunerV1_1TargetTest.cpp
@@ -112,8 +112,8 @@
     ASSERT_TRUE(mFilterTests.openFilterInDemux(filterConf.config1_0.type,
                                                filterConf.config1_0.bufferSize));
     ASSERT_TRUE(mFilterTests.getNewlyOpenedFilterId_64bit(filterId));
-    ASSERT_TRUE(mFilterTests.getSharedAvMemoryHandle(filterId));
     ASSERT_TRUE(mFilterTests.configFilter(filterConf.config1_0.settings, filterId));
+    ASSERT_TRUE(mFilterTests.getSharedAvMemoryHandle(filterId));
     ASSERT_TRUE(mFilterTests.configAvFilterStreamType(filterConf.streamType, filterId));
     ASSERT_TRUE(mFilterTests.getFilterMQDescriptor(filterId, filterConf.config1_0.getMqDesc));
     ASSERT_TRUE(mFilterTests.startFilter(filterId));
diff --git a/tv/tuner/config/TunerTestingConfigReaderV1_0.h b/tv/tuner/config/TunerTestingConfigReaderV1_0.h
index 0688219..d049b07 100644
--- a/tv/tuner/config/TunerTestingConfigReaderV1_0.h
+++ b/tv/tuner/config/TunerTestingConfigReaderV1_0.h
@@ -52,6 +52,7 @@
 using android::hardware::tv::tuner::V1_0::FrontendDvbtConstellation;
 using android::hardware::tv::tuner::V1_0::FrontendDvbtGuardInterval;
 using android::hardware::tv::tuner::V1_0::FrontendDvbtHierarchy;
+using android::hardware::tv::tuner::V1_0::FrontendDvbtPlpMode;
 using android::hardware::tv::tuner::V1_0::FrontendDvbtSettings;
 using android::hardware::tv::tuner::V1_0::FrontendDvbtStandard;
 using android::hardware::tv::tuner::V1_0::FrontendDvbtTransmissionMode;
@@ -593,6 +594,16 @@
         }
         dvbtSettings.bandwidth = static_cast<FrontendDvbtBandwidth>(dvbt->getBandwidth());
         dvbtSettings.isHighPriority = dvbt->getIsHighPriority();
+        dvbtSettings.hierarchy = static_cast<FrontendDvbtHierarchy>(dvbt->getHierarchy());
+        dvbtSettings.hpCoderate = static_cast<FrontendDvbtCoderate>(dvbt->getHpCoderate());
+        dvbtSettings.lpCoderate = static_cast<FrontendDvbtCoderate>(dvbt->getLpCoderate());
+        dvbtSettings.guardInterval =
+                static_cast<FrontendDvbtGuardInterval>(dvbt->getGuardInterval());
+        dvbtSettings.standard = static_cast<FrontendDvbtStandard>(dvbt->getStandard());
+        dvbtSettings.isMiso = dvbt->getIsMiso();
+        dvbtSettings.plpMode = static_cast<FrontendDvbtPlpMode>(dvbt->getPlpMode());
+        dvbtSettings.plpId = dvbt->getPlpId();
+        dvbtSettings.plpGroupId = dvbt->getPlpGroupId();
         if (dvbt->hasConstellation()) {
             dvbtSettings.constellation =
                     static_cast<FrontendDvbtConstellation>(dvbt->getConstellation());
diff --git a/tv/tuner/config/api/current.txt b/tv/tuner/config/api/current.txt
index ef73315..d026bf9 100644
--- a/tv/tuner/config/api/current.txt
+++ b/tv/tuner/config/api/current.txt
@@ -180,11 +180,29 @@
     ctor public DvbtFrontendSettings();
     method @Nullable public java.math.BigInteger getBandwidth();
     method @Nullable public java.math.BigInteger getConstellation();
+    method @Nullable public java.math.BigInteger getGuardInterval();
+    method @Nullable public java.math.BigInteger getHierarchy();
+    method @Nullable public java.math.BigInteger getHpCoderate();
     method @Nullable public java.math.BigInteger getIsHighPriority();
+    method @Nullable public java.math.BigInteger getIsMiso();
+    method @Nullable public java.math.BigInteger getLpCoderate();
+    method @Nullable public java.math.BigInteger getPlpGroupId();
+    method @Nullable public java.math.BigInteger getPlpId();
+    method @Nullable public java.math.BigInteger getPlpMode();
+    method @Nullable public java.math.BigInteger getStandard();
     method @Nullable public java.math.BigInteger getTransmissionMode();
     method public void setBandwidth(@Nullable java.math.BigInteger);
     method public void setConstellation(@Nullable java.math.BigInteger);
+    method public void setGuardInterval(@Nullable java.math.BigInteger);
+    method public void setHierarchy(@Nullable java.math.BigInteger);
+    method public void setHpCoderate(@Nullable java.math.BigInteger);
     method public void setIsHighPriority(@Nullable java.math.BigInteger);
+    method public void setIsMiso(@Nullable java.math.BigInteger);
+    method public void setLpCoderate(@Nullable java.math.BigInteger);
+    method public void setPlpGroupId(@Nullable java.math.BigInteger);
+    method public void setPlpId(@Nullable java.math.BigInteger);
+    method public void setPlpMode(@Nullable java.math.BigInteger);
+    method public void setStandard(@Nullable java.math.BigInteger);
     method public void setTransmissionMode(@Nullable java.math.BigInteger);
   }
 
diff --git a/tv/tuner/config/sample_tuner_vts_config_1_0.xml b/tv/tuner/config/sample_tuner_vts_config_1_0.xml
index 2624076..347e984 100644
--- a/tv/tuner/config/sample_tuner_vts_config_1_0.xml
+++ b/tv/tuner/config/sample_tuner_vts_config_1_0.xml
@@ -54,7 +54,10 @@
         <frontends>
             <frontend id="FE_DEFAULT" type="DVBT" isSoftwareFrontend="true"
                       connectToCicamId="0" frequency="578000" endFrequency="800000">
-                <dvbtFrontendSettings bandwidth="8" transmissionMode="1" isHighPriority="1"/>
+                <dvbtFrontendSettings bandwidth="8" transmissionMode="1" isHighPriority="1"
+                                      constellation="1" hierarchy="1" hpCoderate="1" lpCoderate="1"
+                                      guardInterval="1" standard="1" isMiso="0" plpMode="1"
+                                      plpId="0" plpGroupId="0"/>
             </frontend>
             <frontend id="FE_DVBS_0" type="DVBS" isSoftwareFrontend="true"
                       connectToCicamId="0" frequency="578000" endFrequency="800000">
diff --git a/tv/tuner/config/tuner_testing_dynamic_configuration.xsd b/tv/tuner/config/tuner_testing_dynamic_configuration.xsd
index 5216837..6a04b7e 100644
--- a/tv/tuner/config/tuner_testing_dynamic_configuration.xsd
+++ b/tv/tuner/config/tuner_testing_dynamic_configuration.xsd
@@ -61,9 +61,18 @@
 
     <xs:complexType name="dvbtFrontendSettings">
         <xs:attribute name="bandwidth" type="xs:nonNegativeInteger" use="required"/>
-        <xs:attribute name="transmissionMode" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="constellation" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="guardInterval" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="hierarchy" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="hpCoderate" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="lpCoderate" type="xs:nonNegativeInteger" use="required"/>
         <xs:attribute name="isHighPriority" type="xs:nonNegativeInteger" use="required"/>
-        <xs:attribute name="constellation" type="xs:nonNegativeInteger" use="optional"/>
+        <xs:attribute name="isMiso" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="plpGroupId" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="plpId" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="plpMode" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="standard" type="xs:nonNegativeInteger" use="required"/>
+        <xs:attribute name="transmissionMode" type="xs:nonNegativeInteger" use="required"/>
     </xs:complexType>
     <xs:complexType name="dvbsFrontendSettings">
         <xs:attribute name="inputStreamId" type="xs:nonNegativeInteger" use="required"/>