diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
similarity index 83%
rename from neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
rename to neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
index 8078693..ac9411c 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
@@ -14,10 +14,10 @@
  * limitations under the License.
  */
 
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_H
 
-#include "ExecutionBurstUtils.h"
+#include "nnapi/hal/1.2/BurstUtils.h"
 
 #include <android-base/thread_annotations.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
@@ -49,13 +49,11 @@
 namespace android::hardware::neuralnetworks::V1_2::utils {
 
 /**
- * The ExecutionBurstController class manages both the serialization and deserialization of data
- * across FMQ, making it appear to the runtime as a regular synchronous inference. Additionally,
- * this class manages the burst's memory cache.
+ * The Burst class manages both the serialization and deserialization of data 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,
-      public std::enable_shared_from_this<ExecutionBurstController> {
+class Burst final : public nn::IBurst, public std::enable_shared_from_this<Burst> {
     struct PrivateConstructorTag {};
 
   public:
@@ -150,21 +148,21 @@
      * Creates a burst controller on a prepared model.
      *
      * @param preparedModel Model prepared for execution to execute on.
-     * @param pollingTimeWindow How much time (in microseconds) the ExecutionBurstController is
-     *     allowed to poll the FMQ before waiting on the blocking futex. Polling may result in lower
-     *     latencies at the potential cost of more power usage.
-     * @return ExecutionBurstController Execution burst controller object.
+     * @param pollingTimeWindow How much time (in microseconds) the Burst is allowed to poll the FMQ
+     *     before waiting on the blocking futex. Polling may result in lower latencies at the
+     *     potential cost of more power usage.
+     * @return Burst Execution burst controller object.
      */
-    static nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> create(
+    static nn::GeneralResult<std::shared_ptr<const Burst>> create(
             nn::SharedPreparedModel preparedModel, const sp<IPreparedModel>& hidlPreparedModel,
             std::chrono::microseconds pollingTimeWindow);
 
-    ExecutionBurstController(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);
+    Burst(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);
 
     // See IBurst::cacheMemory for information on this method.
     OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
@@ -202,4 +200,4 @@
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
-#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_CONTROLLER_H
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/BurstUtils.h
similarity index 98%
rename from neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h
rename to neuralnetworks/1.2/utils/include/nnapi/hal/1.2/BurstUtils.h
index c081305..7a6a241 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstUtils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/BurstUtils.h
@@ -14,8 +14,8 @@
  * limitations under the License.
  */
 
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_UTILS_H
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_UTILS_H
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_UTILS_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_UTILS_H
 
 #include <android/hardware/neuralnetworks/1.0/types.h>
 #include <android/hardware/neuralnetworks/1.2/types.h>
@@ -298,4 +298,4 @@
 
 }  // namespace android::hardware::neuralnetworks::V1_2::utils
 
-#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_UTILS_H
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_BURST_UTILS_H
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/Burst.cpp
similarity index 79%
rename from neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
rename to neuralnetworks/1.2/utils/src/Burst.cpp
index a8ded9e..e0a23f1 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/Burst.cpp
@@ -14,10 +14,8 @@
  * limitations under the License.
  */
 
-#define LOG_TAG "ExecutionBurstController"
-
-#include "ExecutionBurstController.h"
-#include "ExecutionBurstUtils.h"
+#include "Burst.h"
+#include "BurstUtils.h"
 
 #include <android-base/logging.h>
 #include <android-base/thread_annotations.h>
@@ -57,14 +55,13 @@
 
   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);
+            std::shared_ptr<const Burst> controller, std::vector<FmqRequestDatum> request,
+            hal::utils::RequestRelocation relocation,
+            std::vector<Burst::OptionalCacheHold> cacheHolds);
 
-    BurstExecution(PrivateConstructorTag tag,
-                   std::shared_ptr<const ExecutionBurstController> controller,
+    BurstExecution(PrivateConstructorTag tag, std::shared_ptr<const Burst> controller,
                    std::vector<FmqRequestDatum> request, hal::utils::RequestRelocation relocation,
-                   std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds);
+                   std::vector<Burst::OptionalCacheHold> cacheHolds);
 
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> compute(
             const nn::OptionalTimePoint& deadline) const override;
@@ -74,10 +71,10 @@
             const nn::OptionalDuration& timeoutDurationAfterFence) const override;
 
   private:
-    const std::shared_ptr<const ExecutionBurstController> kController;
+    const std::shared_ptr<const Burst> kController;
     const std::vector<FmqRequestDatum> kRequest;
     const hal::utils::RequestRelocation kRelocation;
-    const std::vector<ExecutionBurstController::OptionalCacheHold> kCacheHolds;
+    const std::vector<Burst::OptionalCacheHold> kCacheHolds;
 };
 
 nn::GeneralResult<sp<IBurstContext>> executionBurstResultCallback(
@@ -92,8 +89,7 @@
 }
 
 nn::GeneralResult<hidl_vec<hidl_memory>> getMemoriesHelper(
-        const hidl_vec<int32_t>& slots,
-        const std::shared_ptr<ExecutionBurstController::MemoryCache>& memoryCache) {
+        const hidl_vec<int32_t>& slots, const std::shared_ptr<Burst::MemoryCache>& memoryCache) {
     hidl_vec<hidl_memory> memories(slots.size());
     for (size_t i = 0; i < slots.size(); ++i) {
         const int32_t slot = slots[i];
@@ -110,7 +106,7 @@
 
 // MemoryCache methods
 
-ExecutionBurstController::MemoryCache::MemoryCache() {
+Burst::MemoryCache::MemoryCache() {
     constexpr size_t kPreallocatedCount = 1024;
     std::vector<int32_t> freeSlotsSpace;
     freeSlotsSpace.reserve(kPreallocatedCount);
@@ -119,13 +115,13 @@
     mCacheCleaner.reserve(kPreallocatedCount);
 }
 
-void ExecutionBurstController::MemoryCache::setBurstContext(sp<IBurstContext> burstContext) {
+void Burst::MemoryCache::setBurstContext(sp<IBurstContext> burstContext) {
     std::lock_guard guard(mMutex);
     mBurstContext = std::move(burstContext);
 }
 
-std::pair<int32_t, ExecutionBurstController::MemoryCache::SharedCleanup>
-ExecutionBurstController::MemoryCache::cacheMemory(const nn::SharedMemory& memory) {
+std::pair<int32_t, Burst::MemoryCache::SharedCleanup> Burst::MemoryCache::cacheMemory(
+        const nn::SharedMemory& memory) {
     std::unique_lock lock(mMutex);
     base::ScopedLockAssertion lockAssert(mMutex);
 
@@ -163,7 +159,7 @@
     return std::make_pair(slot, std::move(cleaner));
 }
 
-nn::GeneralResult<nn::SharedMemory> ExecutionBurstController::MemoryCache::getMemory(int32_t slot) {
+nn::GeneralResult<nn::SharedMemory> Burst::MemoryCache::getMemory(int32_t slot) {
     std::lock_guard guard(mMutex);
     if (slot < 0 || static_cast<size_t>(slot) >= mMemoryCache.size()) {
         return NN_ERROR() << "Invalid slot: " << slot << " vs " << mMemoryCache.size();
@@ -171,7 +167,7 @@
     return mMemoryCache[slot];
 }
 
-void ExecutionBurstController::MemoryCache::freeMemory(const nn::SharedMemory& memory) {
+void Burst::MemoryCache::freeMemory(const nn::SharedMemory& memory) {
     {
         std::lock_guard guard(mMutex);
         const int32_t slot = mMemoryIdToSlot.at(memory);
@@ -189,7 +185,7 @@
     mCond.notify_all();
 }
 
-int32_t ExecutionBurstController::MemoryCache::allocateSlotLocked() {
+int32_t Burst::MemoryCache::allocateSlotLocked() {
     constexpr size_t kMaxNumberOfSlots = std::numeric_limits<int32_t>::max();
 
     // If there is a free slot, use it.
@@ -210,18 +206,18 @@
 
 // ExecutionBurstCallback methods
 
-ExecutionBurstController::ExecutionBurstCallback::ExecutionBurstCallback(
+Burst::ExecutionBurstCallback::ExecutionBurstCallback(
         const std::shared_ptr<MemoryCache>& memoryCache)
     : kMemoryCache(memoryCache) {
     CHECK(memoryCache != nullptr);
 }
 
-Return<void> ExecutionBurstController::ExecutionBurstCallback::getMemories(
-        const hidl_vec<int32_t>& slots, getMemories_cb cb) {
+Return<void> Burst::ExecutionBurstCallback::getMemories(const hidl_vec<int32_t>& slots,
+                                                        getMemories_cb cb) {
     const auto memoryCache = kMemoryCache.lock();
     if (memoryCache == nullptr) {
-        LOG(ERROR) << "ExecutionBurstController::ExecutionBurstCallback::getMemories called after "
-                      "the MemoryCache has been freed";
+        LOG(ERROR) << "Burst::ExecutionBurstCallback::getMemories called after the MemoryCache has "
+                      "been freed";
         cb(V1_0::ErrorStatus::GENERAL_FAILURE, {});
         return Void();
     }
@@ -229,8 +225,8 @@
     const auto maybeMemories = getMemoriesHelper(slots, memoryCache);
     if (!maybeMemories.has_value()) {
         const auto& [message, code] = maybeMemories.error();
-        LOG(ERROR) << "ExecutionBurstController::ExecutionBurstCallback::getMemories failed with "
-                   << code << ": " << message;
+        LOG(ERROR) << "Burst::ExecutionBurstCallback::getMemories failed with " << code << ": "
+                   << message;
         cb(V1_0::ErrorStatus::INVALID_ARGUMENT, {});
         return Void();
     }
@@ -239,14 +235,14 @@
     return Void();
 }
 
-// ExecutionBurstController methods
+// Burst methods
 
-nn::GeneralResult<std::shared_ptr<const ExecutionBurstController>> ExecutionBurstController::create(
+nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
         nn::SharedPreparedModel preparedModel, const sp<V1_2::IPreparedModel>& hidlPreparedModel,
         std::chrono::microseconds pollingTimeWindow) {
     // check inputs
     if (preparedModel == nullptr || hidlPreparedModel == nullptr) {
-        return NN_ERROR() << "ExecutionBurstController::create passed a nullptr";
+        return NN_ERROR() << "Burst::create passed a nullptr";
     }
 
     // create FMQ objects
@@ -282,18 +278,18 @@
     deathHandler.protectCallbackForLifetimeOfDeathHandler(resultChannelReceiver.get());
 
     // make and return controller
-    return std::make_shared<const ExecutionBurstController>(
+    return std::make_shared<const Burst>(
             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*/, 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)
+Burst::Burst(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)
     : kPreparedModel(std::move(preparedModel)),
       mRequestChannelSender(std::move(requestChannelSender)),
       mResultChannelReceiver(std::move(resultChannelReceiver)),
@@ -302,21 +298,20 @@
       mMemoryCache(std::move(memoryCache)),
       kDeathHandler(std::move(deathHandler)) {}
 
-ExecutionBurstController::OptionalCacheHold ExecutionBurstController::cacheMemory(
-        const nn::SharedMemory& memory) const {
+Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) const {
     auto [slot, hold] = mMemoryCache->cacheMemory(memory);
     return hold;
 }
 
-nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
-ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure,
-                                  const nn::OptionalTimePoint& deadline,
-                                  const nn::OptionalDuration& loopTimeoutDuration) const {
+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 {
     // This is the first point when we know an execution is occurring, so begin to collect
     // 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_RT(NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::execute");
+    NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "Burst::execute");
 
     // if the request is valid but of a higher version than what's supported in burst execution,
     // fall back to another execution path
@@ -357,10 +352,10 @@
 }
 
 // See IBurst::createReusableExecution for information on this method.
-nn::GeneralResult<nn::SharedExecution> ExecutionBurstController::createReusableExecution(
+nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
         const nn::Request& request, nn::MeasureTiming measure,
         const nn::OptionalDuration& loopTimeoutDuration) const {
-    NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "ExecutionBurstController::createReusableExecution");
+    NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "Burst::createReusableExecution");
 
     // if the request is valid but of a higher version than what's supported in burst execution,
     // fall back to another execution path
@@ -397,12 +392,10 @@
                                   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");
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::executeInternal(
+        const std::vector<FmqRequestDatum>& requestPacket,
+        const hal::utils::RequestRelocation& relocation, FallbackFunction fallback) const {
+    NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION, "Burst::executeInternal");
 
     // Ensure that at most one execution is in flight at any given time.
     const bool alreadyInFlight = mExecutionInFlight.test_and_set();
@@ -435,9 +428,9 @@
 }
 
 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) {
+        std::shared_ptr<const Burst> controller, std::vector<FmqRequestDatum> request,
+        hal::utils::RequestRelocation relocation,
+        std::vector<Burst::OptionalCacheHold> cacheHolds) {
     if (controller == nullptr) {
         return NN_ERROR() << "V1_2::utils::BurstExecution::create must have non-null controller";
     }
@@ -448,10 +441,10 @@
 }
 
 BurstExecution::BurstExecution(PrivateConstructorTag /*tag*/,
-                               std::shared_ptr<const ExecutionBurstController> controller,
+                               std::shared_ptr<const Burst> controller,
                                std::vector<FmqRequestDatum> request,
                                hal::utils::RequestRelocation relocation,
-                               std::vector<ExecutionBurstController::OptionalCacheHold> cacheHolds)
+                               std::vector<Burst::OptionalCacheHold> cacheHolds)
     : kController(std::move(controller)),
       kRequest(std::move(request)),
       kRelocation(std::move(relocation)),
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp b/neuralnetworks/1.2/utils/src/BurstUtils.cpp
similarity index 99%
rename from neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp
rename to neuralnetworks/1.2/utils/src/BurstUtils.cpp
index e0d029a..b589c46 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstUtils.cpp
+++ b/neuralnetworks/1.2/utils/src/BurstUtils.cpp
@@ -14,9 +14,7 @@
  * limitations under the License.
  */
 
-#define LOG_TAG "ExecutionBurstUtils"
-
-#include "ExecutionBurstUtils.h"
+#include "BurstUtils.h"
 
 #include <android-base/logging.h>
 #include <android-base/properties.h>
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index b8a5ae0..6df3df3 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -16,11 +16,11 @@
 
 #include "PreparedModel.h"
 
+#include "Burst.h"
+#include "BurstUtils.h"
 #include "Callbacks.h"
 #include "Conversions.h"
 #include "Execution.h"
-#include "ExecutionBurstController.h"
-#include "ExecutionBurstUtils.h"
 #include "Utils.h"
 
 #include <android/hardware/neuralnetworks/1.0/types.h>
@@ -150,16 +150,8 @@
 }
 
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
-    auto self = shared_from_this();
-    auto fallback = [preparedModel = std::move(self)](
-                            const nn::Request& request, nn::MeasureTiming measure,
-                            const nn::OptionalTimePoint& deadline,
-                            const nn::OptionalDuration& loopTimeoutDuration)
-            -> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
-        return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
-    };
     const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
-    return ExecutionBurstController::create(shared_from_this(), kPreparedModel, pollingTimeWindow);
+    return Burst::create(shared_from_this(), kPreparedModel, pollingTimeWindow);
 }
 
 std::any PreparedModel::getUnderlyingResource() const {
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 2c81cb2..ce977e5 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -32,9 +32,9 @@
 #include <nnapi/Types.h>
 #include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
+#include <nnapi/hal/1.2/Burst.h>
+#include <nnapi/hal/1.2/BurstUtils.h>
 #include <nnapi/hal/1.2/Conversions.h>
-#include <nnapi/hal/1.2/ExecutionBurstController.h>
-#include <nnapi/hal/1.2/ExecutionBurstUtils.h>
 #include <nnapi/hal/CommonUtils.h>
 
 #include <memory>
@@ -246,17 +246,8 @@
 }
 
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
-    auto self = shared_from_this();
-    auto fallback = [preparedModel = std::move(self)](
-                            const nn::Request& request, nn::MeasureTiming measure,
-                            const nn::OptionalTimePoint& deadline,
-                            const nn::OptionalDuration& loopTimeoutDuration)
-            -> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
-        return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
-    };
     const auto pollingTimeWindow = V1_2::utils::getBurstControllerPollingTimeWindow();
-    return V1_2::utils::ExecutionBurstController::create(shared_from_this(), kPreparedModel,
-                                                         pollingTimeWindow);
+    return V1_2::utils::Burst::create(shared_from_this(), kPreparedModel, pollingTimeWindow);
 }
 
 std::any PreparedModel::getUnderlyingResource() const {
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h b/neuralnetworks/utils/adapter/include/nnapi/hal/Burst.h
similarity index 66%
rename from neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h
rename to neuralnetworks/utils/adapter/include/nnapi/hal/Burst.h
index 500aa0c..a3aa706 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstServer.h
+++ b/neuralnetworks/utils/adapter/include/nnapi/hal/Burst.h
@@ -14,14 +14,13 @@
  * limitations under the License.
  */
 
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
-
-#include "ExecutionBurstUtils.h"
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_BURST_H
 
 #include <android-base/thread_annotations.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
 #include <android/hardware/neuralnetworks/1.2/IBurstCallback.h>
+#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
 #include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
 #include <android/hardware/neuralnetworks/1.2/types.h>
 #include <fmq/MessageQueue.h>
@@ -30,6 +29,7 @@
 #include <nnapi/Result.h>
 #include <nnapi/Types.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
+#include <nnapi/hal/1.2/BurstUtils.h>
 
 #include <atomic>
 #include <chrono>
@@ -39,13 +39,13 @@
 #include <tuple>
 #include <vector>
 
-namespace android::hardware::neuralnetworks::V1_2::utils {
+namespace android::hardware::neuralnetworks::adapter {
 
 /**
- * The ExecutionBurstServer class is responsible for waiting for and deserializing a request object
- * from a FMQ, performing the inference, and serializing the result back across another FMQ.
+ * The Burst class is responsible for waiting for and deserializing a request object from a FMQ,
+ * performing the inference, and serializing the result back across another FMQ.
  */
-class ExecutionBurstServer : public IBurstContext {
+class Burst : public V1_2::IBurstContext {
     struct PrivateConstructorTag {};
 
   public:
@@ -58,13 +58,13 @@
       public:
         // Precondition: burstExecutor != nullptr
         // Precondition: burstCallback != nullptr
-        MemoryCache(nn::SharedBurst burstExecutor, sp<IBurstCallback> burstCallback);
+        MemoryCache(nn::SharedBurst burstExecutor, sp<V1_2::IBurstCallback> burstCallback);
 
         /**
          * Get the cached memory objects corresponding to provided slot identifiers.
          *
-         * If the slot entry is not present in the cache, this class will use IBurstCallback to
-         * retrieve those entries that are not present in the cache, then cache them.
+         * If the slot entry is not present in the cache, this class will use V1_2::IBurstCallback
+         * to retrieve those entries that are not present in the cache, then cache them.
          *
          * @param slots Identifiers of memory objects to be retrieved.
          * @return A vector where each element is the memory object and a ref-counted cache "hold"
@@ -93,7 +93,7 @@
         std::map<int32_t, std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>> mCache
                 GUARDED_BY(mMutex);
         nn::SharedBurst kBurstExecutor;
-        const sp<IBurstCallback> kBurstCallback;
+        const sp<V1_2::IBurstCallback> kBurstCallback;
     };
 
     /**
@@ -111,45 +111,45 @@
      *     execution.
      * @param burstExecutor Object which maintains a local cache of the memory pools and executes
      *     using the cached memory pools.
-     * @param pollingTimeWindow How much time (in microseconds) the ExecutionBurstServer is allowed
-     *     to poll the FMQ before waiting on the blocking futex. Polling may result in lower
-     *     latencies at the potential cost of more power usage.
-     * @return IBurstContext Handle to the burst context.
+     * @param pollingTimeWindow How much time (in microseconds) the Burst is allowed to poll the FMQ
+     *     before waiting on the blocking futex. Polling may result in lower latencies at the
+     *     potential cost of more power usage.
+     * @return V1_2::IBurstContext Handle to the burst context.
      */
-    static nn::GeneralResult<sp<ExecutionBurstServer>> create(
-            const sp<IBurstCallback>& callback,
-            const MQDescriptorSync<FmqRequestDatum>& requestChannel,
-            const MQDescriptorSync<FmqResultDatum>& resultChannel, nn::SharedBurst burstExecutor,
+    static nn::GeneralResult<sp<Burst>> create(
+            const sp<V1_2::IBurstCallback>& callback,
+            const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel,
+            const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel,
+            nn::SharedBurst burstExecutor,
             std::chrono::microseconds pollingTimeWindow = std::chrono::microseconds{0});
 
-    ExecutionBurstServer(PrivateConstructorTag tag, const sp<IBurstCallback>& callback,
-                         std::unique_ptr<RequestChannelReceiver> requestChannel,
-                         std::unique_ptr<ResultChannelSender> resultChannel,
-                         nn::SharedBurst burstExecutor);
-    ~ExecutionBurstServer();
+    Burst(PrivateConstructorTag tag, const sp<V1_2::IBurstCallback>& callback,
+          std::unique_ptr<V1_2::utils::RequestChannelReceiver> requestChannel,
+          std::unique_ptr<V1_2::utils::ResultChannelSender> resultChannel,
+          nn::SharedBurst burstExecutor);
+    ~Burst();
 
     // Used by the NN runtime to preemptively remove any stored memory. See
-    // IBurstContext::freeMemory for more information.
+    // V1_2::IBurstContext::freeMemory for more information.
     Return<void> freeMemory(int32_t slot) override;
 
   private:
-    // Work loop that will continue processing execution requests until the ExecutionBurstServer
-    // object is freed.
+    // Work loop that will continue processing execution requests until the Burst object is freed.
     void task();
 
-    nn::ExecutionResult<std::pair<hidl_vec<OutputShape>, Timing>> execute(
+    nn::ExecutionResult<std::pair<hidl_vec<V1_2::OutputShape>, V1_2::Timing>> execute(
             const V1_0::Request& requestWithoutPools, const std::vector<int32_t>& slotsOfPools,
-            MeasureTiming measure);
+            V1_2::MeasureTiming measure);
 
     std::thread mWorker;
     std::atomic<bool> mTeardown{false};
-    const sp<IBurstCallback> mCallback;
-    const std::unique_ptr<RequestChannelReceiver> mRequestChannelReceiver;
-    const std::unique_ptr<ResultChannelSender> mResultChannelSender;
+    const sp<V1_2::IBurstCallback> mCallback;
+    const std::unique_ptr<V1_2::utils::RequestChannelReceiver> mRequestChannelReceiver;
+    const std::unique_ptr<V1_2::utils::ResultChannelSender> mResultChannelSender;
     const nn::SharedBurst mBurstExecutor;
     MemoryCache mMemoryCache;
 };
 
-}  // namespace android::hardware::neuralnetworks::V1_2::utils
+}  // namespace android::hardware::neuralnetworks::adapter
 
-#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_EXECUTION_BURST_SERVER_H
+#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_ADAPTER_BURST_H
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/utils/adapter/src/Burst.cpp
similarity index 67%
rename from neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
rename to neuralnetworks/utils/adapter/src/Burst.cpp
index f30b662..8b2e1dd 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/utils/adapter/src/Burst.cpp
@@ -14,11 +14,7 @@
  * limitations under the License.
  */
 
-#define LOG_TAG "ExecutionBurstServer"
-
-#include "ExecutionBurstServer.h"
-#include "Conversions.h"
-#include "ExecutionBurstUtils.h"
+#include "Burst.h"
 
 #include <android-base/logging.h>
 #include <nnapi/IBurst.h>
@@ -29,6 +25,8 @@
 #include <nnapi/hal/1.0/Conversions.h>
 #include <nnapi/hal/1.0/HandleError.h>
 #include <nnapi/hal/1.0/ProtectCallback.h>
+#include <nnapi/hal/1.2/BurstUtils.h>
+#include <nnapi/hal/1.2/Conversions.h>
 #include <nnapi/hal/TransferValue.h>
 
 #include <algorithm>
@@ -42,11 +40,11 @@
 
 #include "Tracing.h"
 
-namespace android::hardware::neuralnetworks::V1_2::utils {
+namespace android::hardware::neuralnetworks::adapter {
 namespace {
 
-constexpr V1_2::Timing kNoTiming = {std::numeric_limits<uint64_t>::max(),
-                                    std::numeric_limits<uint64_t>::max()};
+constexpr V1_2::Timing kTiming = {std::numeric_limits<uint64_t>::max(),
+                                  std::numeric_limits<uint64_t>::max()};
 
 nn::GeneralResult<std::vector<nn::SharedMemory>> getMemoriesCallback(
         V1_0::ErrorStatus status, const hidl_vec<hidl_memory>& memories) {
@@ -61,15 +59,15 @@
 
 }  // anonymous namespace
 
-ExecutionBurstServer::MemoryCache::MemoryCache(nn::SharedBurst burstExecutor,
-                                               sp<IBurstCallback> burstCallback)
+Burst::MemoryCache::MemoryCache(nn::SharedBurst burstExecutor,
+                                sp<V1_2::IBurstCallback> burstCallback)
     : kBurstExecutor(std::move(burstExecutor)), kBurstCallback(std::move(burstCallback)) {
     CHECK(kBurstExecutor != nullptr);
     CHECK(kBurstCallback != nullptr);
 }
 
 nn::GeneralResult<std::vector<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>>
-ExecutionBurstServer::MemoryCache::getCacheEntries(const std::vector<int32_t>& slots) {
+Burst::MemoryCache::getCacheEntries(const std::vector<int32_t>& slots) {
     std::lock_guard guard(mMutex);
     NN_TRY(ensureCacheEntriesArePresentLocked(slots));
 
@@ -82,7 +80,7 @@
     return results;
 }
 
-nn::GeneralResult<void> ExecutionBurstServer::MemoryCache::ensureCacheEntriesArePresentLocked(
+nn::GeneralResult<void> Burst::MemoryCache::ensureCacheEntriesArePresentLocked(
         const std::vector<int32_t>& slots) {
     const auto slotIsKnown = [this](int32_t slot)
                                      REQUIRES(mMutex) { return mCache.count(slot) > 0; };
@@ -107,11 +105,10 @@
     auto returnedMemories = NN_TRY(cb.take());
 
     if (returnedMemories.size() != unknownSlots.size()) {
-        return NN_ERROR()
-               << "ExecutionBurstServer::MemoryCache::ensureCacheEntriesArePresentLocked: Error "
-                  "retrieving memories -- count mismatch between requested memories ("
-               << unknownSlots.size() << ") and returned memories (" << returnedMemories.size()
-               << ")";
+        return NN_ERROR() << "Burst::MemoryCache::ensureCacheEntriesArePresentLocked: Error "
+                             "retrieving memories -- count mismatch between requested memories ("
+                          << unknownSlots.size() << ") and returned memories ("
+                          << returnedMemories.size() << ")";
     }
 
     // add memories to unknown slots
@@ -123,56 +120,54 @@
 }
 
 nn::GeneralResult<std::pair<nn::SharedMemory, nn::IBurst::OptionalCacheHold>>
-ExecutionBurstServer::MemoryCache::getCacheEntryLocked(int32_t slot) {
+Burst::MemoryCache::getCacheEntryLocked(int32_t slot) {
     if (const auto iter = mCache.find(slot); iter != mCache.end()) {
         return iter->second;
     }
-    return NN_ERROR()
-           << "ExecutionBurstServer::MemoryCache::getCacheEntryLocked failed because slot " << slot
-           << " is not present in the cache";
+    return NN_ERROR() << "Burst::MemoryCache::getCacheEntryLocked failed because slot " << slot
+                      << " is not present in the cache";
 }
 
-void ExecutionBurstServer::MemoryCache::addCacheEntryLocked(int32_t slot, nn::SharedMemory memory) {
+void Burst::MemoryCache::addCacheEntryLocked(int32_t slot, nn::SharedMemory memory) {
     auto hold = kBurstExecutor->cacheMemory(memory);
     mCache.emplace(slot, std::make_pair(std::move(memory), std::move(hold)));
 }
 
-void ExecutionBurstServer::MemoryCache::removeCacheEntry(int32_t slot) {
+void Burst::MemoryCache::removeCacheEntry(int32_t slot) {
     std::lock_guard guard(mMutex);
     mCache.erase(slot);
 }
 
-// ExecutionBurstServer methods
+// Burst methods
 
-nn::GeneralResult<sp<ExecutionBurstServer>> ExecutionBurstServer::create(
-        const sp<IBurstCallback>& callback, const MQDescriptorSync<FmqRequestDatum>& requestChannel,
-        const MQDescriptorSync<FmqResultDatum>& resultChannel, nn::SharedBurst burstExecutor,
+nn::GeneralResult<sp<Burst>> Burst::create(
+        const sp<V1_2::IBurstCallback>& callback,
+        const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel,
+        const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, nn::SharedBurst burstExecutor,
         std::chrono::microseconds pollingTimeWindow) {
     // check inputs
     if (callback == nullptr || burstExecutor == nullptr) {
-        return NN_ERROR() << "ExecutionBurstServer::create passed a nullptr";
+        return NN_ERROR() << "Burst::create passed a nullptr";
     }
 
     // create FMQ objects
     auto requestChannelReceiver =
-            NN_TRY(RequestChannelReceiver::create(requestChannel, pollingTimeWindow));
-    auto resultChannelSender = NN_TRY(ResultChannelSender::create(resultChannel));
+            NN_TRY(V1_2::utils::RequestChannelReceiver::create(requestChannel, pollingTimeWindow));
+    auto resultChannelSender = NN_TRY(V1_2::utils::ResultChannelSender::create(resultChannel));
 
     // check FMQ objects
     CHECK(requestChannelReceiver != nullptr);
     CHECK(resultChannelSender != nullptr);
 
     // make and return context
-    return sp<ExecutionBurstServer>::make(PrivateConstructorTag{}, callback,
-                                          std::move(requestChannelReceiver),
-                                          std::move(resultChannelSender), std::move(burstExecutor));
+    return sp<Burst>::make(PrivateConstructorTag{}, callback, std::move(requestChannelReceiver),
+                           std::move(resultChannelSender), std::move(burstExecutor));
 }
 
-ExecutionBurstServer::ExecutionBurstServer(PrivateConstructorTag /*tag*/,
-                                           const sp<IBurstCallback>& callback,
-                                           std::unique_ptr<RequestChannelReceiver> requestChannel,
-                                           std::unique_ptr<ResultChannelSender> resultChannel,
-                                           nn::SharedBurst burstExecutor)
+Burst::Burst(PrivateConstructorTag /*tag*/, const sp<V1_2::IBurstCallback>& callback,
+             std::unique_ptr<V1_2::utils::RequestChannelReceiver> requestChannel,
+             std::unique_ptr<V1_2::utils::ResultChannelSender> resultChannel,
+             nn::SharedBurst burstExecutor)
     : mCallback(callback),
       mRequestChannelReceiver(std::move(requestChannel)),
       mResultChannelSender(std::move(resultChannel)),
@@ -182,7 +177,7 @@
     mWorker = std::thread([this] { task(); });
 }
 
-ExecutionBurstServer::~ExecutionBurstServer() {
+Burst::~Burst() {
     // set teardown flag
     mTeardown = true;
     mRequestChannelReceiver->invalidate();
@@ -191,12 +186,12 @@
     mWorker.join();
 }
 
-Return<void> ExecutionBurstServer::freeMemory(int32_t slot) {
+Return<void> Burst::freeMemory(int32_t slot) {
     mMemoryCache.removeCacheEntry(slot);
     return Void();
 }
 
-void ExecutionBurstServer::task() {
+void Burst::task() {
     // loop until the burst object is being destroyed
     while (!mTeardown) {
         // receive request
@@ -208,12 +203,12 @@
         // if the burst is being torn down, skip the execution so the "task" function can end
         if (!arguments.has_value()) {
             if (!mTeardown) {
-                mResultChannelSender->send(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming);
+                mResultChannelSender->send(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kTiming);
             }
             continue;
         }
 
-        // unpack the arguments; types are Request, std::vector<int32_t>, and MeasureTiming,
+        // unpack the arguments; types are Request, std::vector<int32_t>, and V1_2::MeasureTiming,
         // respectively
         const auto [requestWithoutPools, slotsOfPools, measure] = std::move(arguments).value();
 
@@ -226,17 +221,17 @@
         } else {
             const auto& [message, code, outputShapes] = result.error();
             LOG(ERROR) << "IBurst::execute failed with " << code << ": " << message;
-            mResultChannelSender->send(convert(code).value(), convert(outputShapes).value(),
-                                       kNoTiming);
+            mResultChannelSender->send(V1_2::utils::convert(code).value(),
+                                       V1_2::utils::convert(outputShapes).value(), kTiming);
         }
     }
 }
 
-nn::ExecutionResult<std::pair<hidl_vec<OutputShape>, Timing>> ExecutionBurstServer::execute(
+nn::ExecutionResult<std::pair<hidl_vec<V1_2::OutputShape>, V1_2::Timing>> Burst::execute(
         const V1_0::Request& requestWithoutPools, const std::vector<int32_t>& slotsOfPools,
-        MeasureTiming measure) {
+        V1_2::MeasureTiming measure) {
     NNTRACE_FULL(NNTRACE_LAYER_IPC, NNTRACE_PHASE_EXECUTION,
-                 "ExecutionBurstServer getting memory, executing, and returning results");
+                 "Burst getting memory, executing, and returning results");
 
     // ensure executor with cache has required memory
     const auto cacheEntries = NN_TRY(mMemoryCache.getCacheEntries(slotsOfPools));
@@ -257,7 +252,8 @@
     const auto [outputShapes, timing] =
             NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure, {}, {}));
 
-    return std::make_pair(NN_TRY(convert(outputShapes)), NN_TRY(convert(timing)));
+    return std::make_pair(NN_TRY(V1_2::utils::convert(outputShapes)),
+                          NN_TRY(V1_2::utils::convert(timing)));
 }
 
-}  // namespace android::hardware::neuralnetworks::V1_2::utils
+}  // namespace android::hardware::neuralnetworks::adapter
diff --git a/neuralnetworks/utils/adapter/src/PreparedModel.cpp b/neuralnetworks/utils/adapter/src/PreparedModel.cpp
index 40c0888..a14e782 100644
--- a/neuralnetworks/utils/adapter/src/PreparedModel.cpp
+++ b/neuralnetworks/utils/adapter/src/PreparedModel.cpp
@@ -16,7 +16,8 @@
 
 #include "PreparedModel.h"
 
-#include <ExecutionBurstServer.h>
+#include "Burst.h"
+
 #include <android-base/logging.h>
 #include <android/hardware/neuralnetworks/1.0/IExecutionCallback.h>
 #include <android/hardware/neuralnetworks/1.0/types.h>
@@ -272,6 +273,15 @@
     return syncFences;
 }
 
+nn::GeneralResult<sp<V1_2::IBurstContext>> configureExecutionBurst(
+        const nn::SharedPreparedModel& preparedModel, const sp<V1_2::IBurstCallback>& callback,
+        const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel,
+        const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel) {
+    auto burstExecutor = NN_TRY(preparedModel->configureExecutionBurst());
+    return Burst::create(callback, requestChannel, resultChannel, std::move(burstExecutor),
+                         V1_2::utils::getBurstServerPollingTimeWindow());
+}
+
 nn::GeneralResult<std::pair<hidl_handle, sp<V1_3::IFencedExecutionCallback>>> executeFenced(
         const nn::SharedPreparedModel& preparedModel, const V1_3::Request& request,
         const hidl_vec<hidl_handle>& waitFor, V1_2::MeasureTiming measure,
@@ -388,14 +398,17 @@
         const MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel,
         const MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel,
         configureExecutionBurst_cb cb) {
-    const sp<V1_2::IBurstContext> burst = nn::ExecutionBurstServer::create(
-            callback, requestChannel, resultChannel, this, std::chrono::microseconds{0});
-
-    if (burst == nullptr) {
-        cb(V1_0::ErrorStatus::GENERAL_FAILURE, {});
-    } else {
-        cb(V1_0::ErrorStatus::NONE, burst);
+    auto result = adapter::configureExecutionBurst(kPreparedModel, callback, requestChannel,
+                                                   resultChannel);
+    if (!result.has_value()) {
+        auto [message, code] = std::move(result).error();
+        LOG(ERROR) << "adapter::PreparedModel::configureExecutionBurst failed with " << code << ": "
+                   << message;
+        cb(V1_2::utils::convert(code).value(), nullptr);
+        return Void();
     }
+    auto burstContext = std::move(result).value();
+    cb(V1_0::ErrorStatus::NONE, std::move(burstContext));
     return Void();
 }