ROCm/RELEASE.md

ROCm 6.3.2 release notes

The release notes provide a summary of notable changes since the previous ROCm release.

• Release highlights

• Operating system and hardware support changes

• ROCm components versioning

• Detailed component changes

• ROCm known issues

• ROCm resolved issues

• ROCm upcoming changes

If you’re using Radeon™ PRO or Radeon GPUs in a workstation setting with a
display connected, continue to use ROCm 6.2.3. See the [Use ROCm on Radeon GPUs](https://rocm.docs.amd.com/projects/radeon/en/latest/index.html)
documentation to verify compatibility and system requirements.

Release highlights

The following are notable new features and improvements in ROCm 6.3.2. For changes to individual components, see Detailed component changes.

ROCm documentation updates

ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for a wider variety of user needs and use cases.

• Documentation about ROCm compatibility with deep learning frameworks has been added. These topics outline ROCm-enabled features for each deep learning framework, key ROCm libraries that can influence the capabilities, Docker image tags validated, and features supported across the available ROCm and framework versions. For more information, see:

  • PyTorch compatibility

  • TensorFlow compatibility

  • JAX compatibility

• The HIP C++ language extensions and Kernel language C++ support topics have been reorganized to make them easier to find and review. The topics have also been enhanced with new content.

Operating system and hardware support changes

Operating system and hardware support remains unchanged in this release.

See the Compatibility matrix for more information about operating system and hardware compatibility.

ROCm components

The following table lists the versions of ROCm components for ROCm 6.3.2, including any version changes from 6.3.1 to 6.3.2. Click the component's updated version to go to a list of its changes. Click {fab}github to go to the component's source code on GitHub.

Category	Group	Name	Version
Libraries	Machine learning and computer vision	Composable Kernel	1.1.0
		MIGraphX	2.11.0
		MIOpen	3.3.0
		MIVisionX	3.1.0
		rocAL	2.1.0
		rocDecode	0.8.0
		rocJPEG	0.6.0
		rocPyDecode	0.2.0
		RPP	1.9.1
	Communication	RCCL	2.21.5
	Math	hipBLAS	2.3.0
		hipBLASLt	0.10.0
		hipFFT	1.0.17
		hipfort	0.5.0 ⇒ 0.5.1
		hipRAND	2.11.1
		hipSOLVER	2.3.0
		hipSPARSE	3.1.2
		hipSPARSELt	0.2.2
		rocALUTION	3.2.1
		rocBLAS	4.3.0
		rocFFT	1.0.31
		rocRAND	3.2.0
		rocSOLVER	3.27.0
		rocSPARSE	3.3.0
		rocWMMA	1.6.0
		Tensile	4.42.0
	Primitives	hipCUB	3.3.0
		hipTensor	1.4.0
		rocPRIM	3.3.0
		rocThrust	3.3.0
Tools	System management	AMD SMI	24.7.1
		ROCm Data Center Tool	0.3.0
		rocminfo	1.0.0
		ROCm SMI	7.4.0
		ROCmValidationSuite	1.1.0
			Performance	ROCm Bandwidth Test	1.4.0
				ROCm Compute Profiler	3.0.0
ROCm Systems Profiler	0.1.0 ⇒ 0.1.1
ROCProfiler	2.0.0 ⇒ 2.0.0
ROCprofiler-SDK	0.5.0 ⇒ 0.5.0
ROCTracer	4.1.0
	Development	HIPIFY	18.0.0
		ROCdbgapi	0.77.0
		ROCm CMake	0.14.0
		ROCm Debugger (ROCgdb)	15.2
		ROCr Debug Agent	2.0.3
Compilers		HIPCC	1.1.1
		llvm-project	18.0.0
Runtimes		HIP	6.3.1 ⇒ 6.3.2
		ROCr Runtime	1.14.0

Detailed component changes

The following sections describe key changes to ROCm components.

HIP (6.3.2)

Added

• Tracking of Heterogeneous System Architecture (HSA) handlers:
  • Adds an atomic counter to track the outstanding HSA handlers.
  • Waits on CPU for the callbacks if the number exceeds the defined value.
• Codes to capture Architected Queueing Language (AQL) packets for HIP graph memory copy node between host and device. HIP enqueues AQL packets during graph launch.
• Control to use system pool implementation in runtime commands handling. By default, it is disabled.
• A new path to avoid WaitAny calls in AsyncEventsLoop. The new path is selected by default.
• Runtime control on decrement counter only if the event is popped. There is a new way to restore dead signals cleanup for the old path.
• A new logic in runtime to track the age of events from the kernel mode driver.

Optimized

• HSA callback performance. The HIP runtime creates and submits commands in the queue and interacts with HSA through a callback function. HIP waits for the CPU status from HSA to optimize the handling of events, profiling, commands, and HSA signals for higher performance.
• Runtime optimization which combines all logic of WaitAny in a single processing loop and avoids extra memory allocations or reference counting. The runtime won't spin on the CPU if all events are busy.
• Multi-threaded dispatches for performance improvement.
• Command submissions and processing between CPU and GPU by introducing a way to limit the software batch size.
• Switch to std::shared_mutex in book/keep logic in streams from multiple threads simultaneously, for performance improvement in specific customer applications.

Resolved issues

• Race condition in multi-threaded producer/consumer scenario with hipMallocFromPoolAsync.
• Segmentation fault with hipStreamLegacy while using the API hipStreamWaitEvent.
• Usage of hipStreamLegacy in HIP event record.

hipfort (0.5.1)

Added

• Support for building with LLVM Flang.

Resolved issues

• Fixed the exported hipfort::hipsparse CMake target.

ROCm Systems Profiler (0.1.1)

Resolved issues

• Fixed an error when building from source on some SUSE and RHEL systems when using the ROCPROFSYS_BUILD_DYNINST option.

ROCProfiler (2.0.0)

Added

• SIMD_UTILIZATION metric.

Changed

• Activity metrics.

ROCprofiler-SDK (0.5.0)

Added

• Support for device counter collection ioctl.

ROCm known issues

ROCm known issues are noted on {fab}github GitHub. For known issues related to individual components, review the Detailed component changes.

ROCm resolved issues

The following are previously known issues resolved in this release. For resolved issues related to individual components, review the Detailed component changes.

ROCm upcoming changes

The following changes to the ROCm software stack are anticipated for future releases.

AMDGPU wavefront size compiler macro deprecation

The __AMDGCN_WAVEFRONT_SIZE__ macro will be deprecated in an upcoming release. It is recommended to remove any use of this macro. For more information, see AMDGPU support.

HIPCC Perl scripts deprecation

The HIPCC Perl scripts (hipcc.pl and hipconfig.pl) will be removed in an upcoming release.