diff --git a/neuralnetworks/aidl/utils/Android.bp b/neuralnetworks/aidl/utils/Android.bp
index 476dac9..ad961cf 100644
--- a/neuralnetworks/aidl/utils/Android.bp
+++ b/neuralnetworks/aidl/utils/Android.bp
@@ -34,7 +34,6 @@
         "libarect",
         "neuralnetworks_types",
         "neuralnetworks_utils_hal_common",
-        "neuralnetworks_utils_hal_1_0",
     ],
     shared_libs: [
         "android.hardware.neuralnetworks-V1-ndk_platform",
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
new file mode 100644
index 0000000..008e4e4
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
@@ -0,0 +1,111 @@
+/*
+ * 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_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
+
+#include <aidl/android/hardware/neuralnetworks/IBurst.h>
+#include <android-base/scopeguard.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+
+#include <atomic>
+#include <memory>
+#include <mutex>
+#include <optional>
+#include <unordered_map>
+#include <utility>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on AIDL interface
+// lifetimes across processes and for protecting asynchronous calls across AIDL.
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+// Class that adapts aidl_hal::IBurst to nn::IBurst.
+class Burst final : public nn::IBurst {
+    struct PrivateConstructorTag {};
+
+  public:
+    /**
+     * Thread-safe, self-cleaning cache that relates an nn::Memory object to a unique int64_t
+     * identifier.
+     */
+    class MemoryCache : public std::enable_shared_from_this<MemoryCache> {
+      public:
+        using Task = std::function<void()>;
+        using Cleanup = ::android::base::ScopeGuard<Task>;
+        using SharedCleanup = std::shared_ptr<const Cleanup>;
+        using WeakCleanup = std::weak_ptr<const Cleanup>;
+
+        explicit MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst);
+
+        /**
+         * Get or cache a memory object in the MemoryCache object.
+         *
+         * @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
+         * @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
+         *     "hold" object which preserves the cache as long as the hold object is alive.
+         */
+        std::pair<int64_t, SharedCleanup> getOrCacheMemory(const nn::SharedMemory& memory);
+
+        /**
+         * Get a cached memory object in the MemoryCache object if it exists, otherwise
+         * std::nullopt.
+         *
+         * @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
+         * @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
+         *     "hold" object which preserves the cache as long as the hold object is alive. IF the
+         *     cache entry is not present, std::nullopt is returned instead.
+         */
+        std::optional<std::pair<int64_t, SharedCleanup>> getMemoryIfAvailable(
+                const nn::SharedMemory& memory);
+
+      private:
+        void tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier);
+
+        const std::shared_ptr<aidl_hal::IBurst> kBurst;
+        std::mutex mMutex;
+        int64_t mUnusedIdentifier GUARDED_BY(mMutex) = 0;
+        std::unordered_map<nn::SharedMemory, std::pair<int64_t, WeakCleanup>> mCache
+                GUARDED_BY(mMutex);
+    };
+
+    static nn::GeneralResult<std::shared_ptr<const Burst>> create(
+            std::shared_ptr<aidl_hal::IBurst> burst);
+
+    Burst(PrivateConstructorTag tag, std::shared_ptr<aidl_hal::IBurst> burst);
+
+    // See IBurst::cacheMemory for information.
+    OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
+
+    // See IBurst::execute for information.
+    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
+            const nn::Request& request, nn::MeasureTiming measure,
+            const nn::OptionalTimePoint& deadline,
+            const nn::OptionalDuration& loopTimeoutDuration) const override;
+
+  private:
+    mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
+    const std::shared_ptr<aidl_hal::IBurst> kBurst;
+    const std::shared_ptr<MemoryCache> kMemoryCache;
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
index 9b28588..abce6cc 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
@@ -22,7 +22,6 @@
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
 #include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/aidl/ProtectCallback.h>
 
 #include <memory>
 #include <tuple>
@@ -35,8 +34,7 @@
 namespace aidl::android::hardware::neuralnetworks::utils {
 
 // Class that adapts aidl_hal::IPreparedModel to nn::IPreparedModel.
-class PreparedModel final : public nn::IPreparedModel,
-                            public std::enable_shared_from_this<PreparedModel> {
+class PreparedModel final : public nn::IPreparedModel {
     struct PrivateConstructorTag {};
 
   public:
diff --git a/neuralnetworks/aidl/utils/src/Burst.cpp b/neuralnetworks/aidl/utils/src/Burst.cpp
new file mode 100644
index 0000000..0b475bc
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Burst.cpp
@@ -0,0 +1,197 @@
+/*
+ * 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 "Burst.h"
+
+#include "Conversions.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <mutex>
+#include <optional>
+#include <utility>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+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)));
+}
+
+}  // namespace
+
+Burst::MemoryCache::MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst)
+    : kBurst(std::move(burst)) {}
+
+std::pair<int64_t, Burst::MemoryCache::SharedCleanup> Burst::MemoryCache::getOrCacheMemory(
+        const nn::SharedMemory& memory) {
+    std::lock_guard lock(mMutex);
+
+    // Get the cache payload or create it (with default values) if it does not exist.
+    auto& cachedPayload = mCache[memory];
+    {
+        const auto& [identifier, maybeCleaner] = cachedPayload;
+        // If cache payload already exists, reuse it.
+        if (auto cleaner = maybeCleaner.lock()) {
+            return std::make_pair(identifier, std::move(cleaner));
+        }
+    }
+
+    // If the code reaches this point, the cached payload either did not exist or expired prior to
+    // this call.
+
+    // Allocate a new identifier.
+    CHECK_LT(mUnusedIdentifier, std::numeric_limits<int64_t>::max());
+    const int64_t identifier = mUnusedIdentifier++;
+
+    // Create reference-counted self-cleaning cache object.
+    auto self = weak_from_this();
+    Task cleanup = [memory, identifier, maybeMemoryCache = std::move(self)] {
+        if (const auto memoryCache = maybeMemoryCache.lock()) {
+            memoryCache->tryFreeMemory(memory, identifier);
+        }
+    };
+    auto cleaner = std::make_shared<const Cleanup>(std::move(cleanup));
+
+    // Store the result in the cache and return it.
+    auto result = std::make_pair(identifier, std::move(cleaner));
+    cachedPayload = result;
+    return result;
+}
+
+std::optional<std::pair<int64_t, Burst::MemoryCache::SharedCleanup>>
+Burst::MemoryCache::getMemoryIfAvailable(const nn::SharedMemory& memory) {
+    std::lock_guard lock(mMutex);
+
+    // Get the existing cached entry if it exists.
+    const auto iter = mCache.find(memory);
+    if (iter != mCache.end()) {
+        const auto& [identifier, maybeCleaner] = iter->second;
+        if (auto cleaner = maybeCleaner.lock()) {
+            return std::make_pair(identifier, std::move(cleaner));
+        }
+    }
+
+    // If the code reaches this point, the cached payload did not exist or was actively being
+    // deleted.
+    return std::nullopt;
+}
+
+void Burst::MemoryCache::tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier) {
+    {
+        std::lock_guard guard(mMutex);
+        // Remove the cached memory and payload if it is present but expired. Note that it may not
+        // be present or may not be expired because another thread may have removed or cached the
+        // same memory object before the current thread locked mMutex in tryFreeMemory.
+        const auto iter = mCache.find(memory);
+        if (iter != mCache.end()) {
+            if (std::get<WeakCleanup>(iter->second).expired()) {
+                mCache.erase(iter);
+            }
+        }
+    }
+    kBurst->releaseMemoryResource(identifier);
+}
+
+nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
+        std::shared_ptr<aidl_hal::IBurst> burst) {
+    if (burst == nullptr) {
+        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+               << "aidl_hal::utils::Burst::create must have non-null burst";
+    }
+
+    return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(burst));
+}
+
+Burst::Burst(PrivateConstructorTag /*tag*/, std::shared_ptr<aidl_hal::IBurst> burst)
+    : kBurst(std::move(burst)), kMemoryCache(std::make_shared<MemoryCache>(kBurst)) {
+    CHECK(kBurst != nullptr);
+}
+
+Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) const {
+    auto [identifier, hold] = kMemoryCache->getOrCacheMemory(memory);
+    return hold;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
+        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)));
+
+    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)));
+
+    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) {
+        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(request.pools.size(), memoryIdentifierTokens.size());
+
+    ExecutionResult executionResult;
+    const auto ret =
+            kBurst->executeSynchronously(aidlRequest, memoryIdentifierTokens, aidlMeasure,
+                                         aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
+    HANDLE_ASTATUS(ret) << "execute failed";
+    if (!executionResult.outputSufficientSize) {
+        auto canonicalOutputShapes =
+                nn::convert(executionResult.outputShapes).value_or(std::vector<nn::OutputShape>{});
+        return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
+               << "execution failed with " << nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
+    }
+    auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
+            convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
+
+    NN_TRY(hal::utils::makeExecutionFailure(
+            hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
+
+    return std::make_pair(std::move(outputShapes), timing);
+}
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/PreparedModel.cpp b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
index aee4d90..003965b 100644
--- a/neuralnetworks/aidl/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
@@ -16,9 +16,9 @@
 
 #include "PreparedModel.h"
 
+#include "Burst.h"
 #include "Callbacks.h"
 #include "Conversions.h"
-#include "ProtectCallback.h"
 #include "Utils.h"
 
 #include <android/binder_auto_utils.h>
@@ -26,7 +26,6 @@
 #include <nnapi/Result.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/hal/1.0/Burst.h>
 #include <nnapi/hal/CommonUtils.h>
 #include <nnapi/hal/HandleError.h>
 
@@ -161,7 +160,10 @@
 }
 
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
-    return hal::V1_0::utils::Burst::create(shared_from_this());
+    std::shared_ptr<IBurst> burst;
+    const auto ret = kPreparedModel->configureExecutionBurst(&burst);
+    HANDLE_ASTATUS(ret) << "configureExecutionBurst failed";
+    return Burst::create(std::move(burst));
 }
 
 std::any PreparedModel::getUnderlyingResource() const {
diff --git a/neuralnetworks/aidl/utils/test/MockBurst.h b/neuralnetworks/aidl/utils/test/MockBurst.h
new file mode 100644
index 0000000..5083bbd
--- /dev/null
+++ b/neuralnetworks/aidl/utils/test/MockBurst.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_AIDL_UTILS_TEST_MOCK_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BURST_H
+
+#include <aidl/android/hardware/neuralnetworks/BnBurst.h>
+#include <android/binder_interface_utils.h>
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <hidl/Status.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+class MockBurst final : public BnBurst {
+  public:
+    MOCK_METHOD(ndk::ScopedAStatus, executeSynchronously,
+                (const Request& request, const std::vector<int64_t>& memoryIdentifierTokens,
+                 bool measureTiming, int64_t deadline, int64_t loopTimeoutDuration,
+                 ExecutionResult* executionResult),
+                (override));
+    MOCK_METHOD(ndk::ScopedAStatus, releaseMemoryResource, (int64_t memoryIdentifierToken),
+                (override));
+};
+
+}  // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BURST_H
diff --git a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
index 83304bc..630a460 100644
--- a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
@@ -14,6 +14,7 @@
  * limitations under the License.
  */
 
+#include "MockBurst.h"
 #include "MockFencedExecutionCallback.h"
 #include "MockPreparedModel.h"
 
@@ -255,6 +256,10 @@
 TEST(PreparedModelTest, configureExecutionBurst) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();
+    const auto mockBurst = ndk::SharedRefBase::make<MockBurst>();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+            .Times(1)
+            .WillOnce(DoAll(SetArgPointee<0>(mockBurst), Invoke(makeStatusOk)));
     const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
 
     // run test
@@ -266,6 +271,54 @@
     EXPECT_NE(result.value(), nullptr);
 }
 
+TEST(PreparedModelTest, configureExecutionBurstError) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralFailure));
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstTransportFailure) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstDeadObject) {
+    // setup test
+    const auto mockPreparedModel = MockPreparedModel::create();
+    EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+            .Times(1)
+            .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+    const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+    // run test
+    const auto result = preparedModel->configureExecutionBurst();
+
+    // verify result
+    ASSERT_FALSE(result.has_value());
+    EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
+
 TEST(PreparedModelTest, getUnderlyingResource) {
     // setup test
     const auto mockPreparedModel = MockPreparedModel::create();