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/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..7987ab4 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 +62,34 @@
         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, &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 +104,19 @@
            << "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, &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();