* Increase rocDecode code coverage and add version check
* Update rocJPEG tests
* Fix rocJPEG tests
* Enable building tests/samples in rocm release compat workflow
* Readded rocJPEG test skips
* formatting
* Adding ROCm libraries for the code-coverage job
* Added return value check for error message and updated compatability to enable tests
* Disable rocm_release_compatibility samples and tests until openmp issue is resolved
---------
Co-authored-by: Ian Trowbridge <Ian.Trowbridge@amd.com>
Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
Co-authored-by: Jonathan R. Madsen <Jonathan.Madsen@amd.com>
* Detect SELinux mode and fail-fast
* Detect SELinux status by reading /sys/fs/selinux/enforce during initialization.
* Fix the verbose mode for HIP Stream events
* Add more information in the logs
Add information to the user about how to change the setting
When running on a system that doesn't support HSMP (such as an APU)
then the following is observed:
```
/usr/include/c++/15.1.1/bits/stl_vector.h:1263: std::vector<_Tp, _Alloc>::reference std::vector<_Tp, _Alloc>::operator[](size_type) [with _Tp = void*; _Alloc = std::allocator<void*>; reference = void*&; size_type = long unsigned int]: Assertion '__n < this->size()' failed.
```
This is because no "CPU" are detected on the SOC, which really means
no CPUs that support HSMP. Catch this case so that a clean return
can be passed up.
Signed-off-by: Mario Limonciello (AMD) <superm1@kernel.org>
When running on a system that doesn't support HSMP (such as an APU)
then the following is observed:
```
/usr/include/c++/15.1.1/bits/stl_vector.h:1263: std::vector<_Tp, _Alloc>::reference std::vector<_Tp, _Alloc>::operator[](size_type) [with _Tp = void*; _Alloc = std::allocator<void*>; reference = void*&; size_type = long unsigned int]: Assertion '__n < this->size()' failed.
```
This is because no "CPU" are detected on the SOC, which really means
no CPUs that support HSMP. Catch this case so that a clean return
can be passed up.
Signed-off-by: Mario Limonciello (AMD) <superm1@kernel.org>
[ROCm/amdsmi commit: e5d9e1361e]
Device API (Experimental)
* Introduces device-side APIs to integrate NCCL communication directly into application kernels.
* Supports LSA (Load/Store Access) for CUDA P2P communication over NVLink and some PCIe platforms.
* Supports Multimem for hardware multicast using NVLink SHARP.
* Adds initial framework for GIN (GPU-Initiated Networking), currently under development.
* Introduces device communicators created using ncclDevCommCreate.
* Enables device-side communication operations with synchronization (ncclLsaBarrierSession) and memory accessors (ncclGetLsaPointer, ncclGetLsaMultimemPointer).
* Experimental APIs - signatures and functionality may evolve in future releases.
* No ABI compatibility is guaranteed — applications must be recompiled with each new NCCL release.
Symmetric memory improvements
* Support for aggregating symmetric operations using ncclGroupStart/End APIs.
* Reimplement symmetric kernels using device API.
New Host APIs
* Introduce new host collective APIs: ncclAlltoAll, ncclScatter, ncclGather.
CE (Copy Engine) Collectives
* Reduce SM utilization for alltoall, scatter, gather, and allgather within a single (MN)NVL domain.
* Free up SM capacity for the application to do computation at the same time.
* To enable the feature for ncclAllGather, ncclAlltoAll, ncclGather, ncclScatter, register buffers into symmetric windows and use the NCCL_CTA_POLICY_ZERO flag in the communicator config_t.
NCCL Inspector Plugin
* Introduces an Inspector plugin for always-on performance monitoring.
* Produces structured JSON output with metadata, execution time, bandwidth, and optional event traces for each NCCL operation.
* Enables integration with analysis tools such as Performance Exporter to visualize NCCL performance bottlenecks.
* Lightweight to enable via environment variables NCCL_PROFILER_PLUGIN and NCCL_INSPECTOR_ENABLE.
CMake support (Experiemental)
* Adds a CMake build system as an alternative to existing Makefiles.
* Known issues: pkg.build and Device API currently do not work with CMake.
* The known issues will be addressed in a future release.
Decreased max CTA count from 32 to 16 on Blackwell
* SM overhead is decreased by 50% with this improvement.
* This may cause some perf drop on Blackwell because of the reduced SM usage.
* If the extra SM capacity is not desired, two options are available to restore to previous behavior: 1) Setting NCCL_MIN_CTAS=32 NCCL_MAX_CTAS=32 environment variables; 2) setting communicator config to over-write max CTA count to 32.
* Based on community feedback, future versions may consider different trade-offs between performance and SM overhead.
Plugins
* Network
* App-aware Network plugin. NCCL passes information about communication operations to be executed on the network end point. This allows for better tuning of network end points and their use in the plugins.
* Improve handling of physical and virtual network devices and load/unload.
* Network plugin version 11 - add explicit context and communication ID support for per communicator init/finalize.
* Add Multi-Request Net API. Using this will help NCCL to anticipate multiple send/recv requests and optimize for it. See maxMultiRequestSize field in ncclNetProperties_v11_t.
* Profiler
* Add support for API events (group, collective, and p2p) and for tracking kernel launches in the profiler plugin.
* Add Inspector Profiler Plugin (see section above).
* Add a hook to Google’s CoMMA profiler on github.
* Tuner
* Expose NCCL tuning constants at tuner initialization via ncclTunerConstants_v5_t.
* Add NVL Domain Information API.
* Support multiple plugin types from a single shared object.
New Parameterization and ncclConfig changes:
* Add new option NCCL_MNNVL_CLIQUE_ID=-2 which will use rack serial number to partition the MNNVL clique. This will limit NVLink domains to GPUs within a single rack.
* Add NCCL_NETDEVS_POLICY to control how NET devices are assigned to GPUs. The default (AUTO) is the policy used in previous versions.
* Add NCCL_SINGLE_PROC_MEM_REG_ENABLE control variable to enable NVLS UB registration in the “one process, multiple ranks” case as opt in.
* Move nChannelsPerNetPeer into ncclConfig. NCCL_NCHANNELS_PER_NET_PEER can override the value in ncclConfig.
* Enable PxN over C2C by default
* PxN over C2C will improve performance for Grace-Blackwell platforms by allowing NCCL to leverage the NIC attached to a peer GPU over NVLINK, C2C, and PCIe.
* This behavior can be overridden by setting NCCL_PXN_C2C=0.
Other Improvements:
* Allow FP8 support for non-reductive operations on pre sm90 devices. (See https://github.com/pytorch/pytorch/pull/151594#discussion_r2135777776)
* Fix NVLS+CollNet and temporarily disables COLLNET_CHAIN for >8 GPUs.
* Only consider running interfaces for socket traffic. NCCL will not attempt to use interfaces that do not have the IFF_RUNNING bit. (https://github.com/NVIDIA/nccl/issues/1798)
* Modernize mutex management. Convert to std::mutex and std::lock_guard.
* Remove sm35 and sm50 GENCODE targets which have long been deprecated and were causing issues with the latest NCCL release builds.
* Improved NVLS/NVLSTree tuning prediction to improve algorithm and protocol selection.
* NVLSTree Tuning Fixes. Update tuning data for H100, GB200-NV72.
* Respond better to RoCE link flaps. Instead of reporting an “unknown event” it will now report “GID table changed”.
* Move libvirt bridge interface to the end of possible interfaces so that they are considered last. These interfaces are usually virtual bridges to relay traffic to containers running on the host and cannot be used for traffic to a remote node and are therefore unsuitable.
[ROCm/rccl commit: f1308997d0]
Device API (Experimental)
* Introduces device-side APIs to integrate NCCL communication directly into application kernels.
* Supports LSA (Load/Store Access) for CUDA P2P communication over NVLink and some PCIe platforms.
* Supports Multimem for hardware multicast using NVLink SHARP.
* Adds initial framework for GIN (GPU-Initiated Networking), currently under development.
* Introduces device communicators created using ncclDevCommCreate.
* Enables device-side communication operations with synchronization (ncclLsaBarrierSession) and memory accessors (ncclGetLsaPointer, ncclGetLsaMultimemPointer).
* Experimental APIs - signatures and functionality may evolve in future releases.
* No ABI compatibility is guaranteed — applications must be recompiled with each new NCCL release.
Symmetric memory improvements
* Support for aggregating symmetric operations using ncclGroupStart/End APIs.
* Reimplement symmetric kernels using device API.
New Host APIs
* Introduce new host collective APIs: ncclAlltoAll, ncclScatter, ncclGather.
CE (Copy Engine) Collectives
* Reduce SM utilization for alltoall, scatter, gather, and allgather within a single (MN)NVL domain.
* Free up SM capacity for the application to do computation at the same time.
* To enable the feature for ncclAllGather, ncclAlltoAll, ncclGather, ncclScatter, register buffers into symmetric windows and use the NCCL_CTA_POLICY_ZERO flag in the communicator config_t.
NCCL Inspector Plugin
* Introduces an Inspector plugin for always-on performance monitoring.
* Produces structured JSON output with metadata, execution time, bandwidth, and optional event traces for each NCCL operation.
* Enables integration with analysis tools such as Performance Exporter to visualize NCCL performance bottlenecks.
* Lightweight to enable via environment variables NCCL_PROFILER_PLUGIN and NCCL_INSPECTOR_ENABLE.
CMake support (Experiemental)
* Adds a CMake build system as an alternative to existing Makefiles.
* Known issues: pkg.build and Device API currently do not work with CMake.
* The known issues will be addressed in a future release.
Decreased max CTA count from 32 to 16 on Blackwell
* SM overhead is decreased by 50% with this improvement.
* This may cause some perf drop on Blackwell because of the reduced SM usage.
* If the extra SM capacity is not desired, two options are available to restore to previous behavior: 1) Setting NCCL_MIN_CTAS=32 NCCL_MAX_CTAS=32 environment variables; 2) setting communicator config to over-write max CTA count to 32.
* Based on community feedback, future versions may consider different trade-offs between performance and SM overhead.
Plugins
* Network
* App-aware Network plugin. NCCL passes information about communication operations to be executed on the network end point. This allows for better tuning of network end points and their use in the plugins.
* Improve handling of physical and virtual network devices and load/unload.
* Network plugin version 11 - add explicit context and communication ID support for per communicator init/finalize.
* Add Multi-Request Net API. Using this will help NCCL to anticipate multiple send/recv requests and optimize for it. See maxMultiRequestSize field in ncclNetProperties_v11_t.
* Profiler
* Add support for API events (group, collective, and p2p) and for tracking kernel launches in the profiler plugin.
* Add Inspector Profiler Plugin (see section above).
* Add a hook to Google’s CoMMA profiler on github.
* Tuner
* Expose NCCL tuning constants at tuner initialization via ncclTunerConstants_v5_t.
* Add NVL Domain Information API.
* Support multiple plugin types from a single shared object.
New Parameterization and ncclConfig changes:
* Add new option NCCL_MNNVL_CLIQUE_ID=-2 which will use rack serial number to partition the MNNVL clique. This will limit NVLink domains to GPUs within a single rack.
* Add NCCL_NETDEVS_POLICY to control how NET devices are assigned to GPUs. The default (AUTO) is the policy used in previous versions.
* Add NCCL_SINGLE_PROC_MEM_REG_ENABLE control variable to enable NVLS UB registration in the “one process, multiple ranks” case as opt in.
* Move nChannelsPerNetPeer into ncclConfig. NCCL_NCHANNELS_PER_NET_PEER can override the value in ncclConfig.
* Enable PxN over C2C by default
* PxN over C2C will improve performance for Grace-Blackwell platforms by allowing NCCL to leverage the NIC attached to a peer GPU over NVLINK, C2C, and PCIe.
* This behavior can be overridden by setting NCCL_PXN_C2C=0.
Other Improvements:
* Allow FP8 support for non-reductive operations on pre sm90 devices. (See https://github.com/pytorch/pytorch/pull/151594#discussion_r2135777776)
* Fix NVLS+CollNet and temporarily disables COLLNET_CHAIN for >8 GPUs.
* Only consider running interfaces for socket traffic. NCCL will not attempt to use interfaces that do not have the IFF_RUNNING bit. (https://github.com/NVIDIA/nccl/issues/1798)
* Modernize mutex management. Convert to std::mutex and std::lock_guard.
* Remove sm35 and sm50 GENCODE targets which have long been deprecated and were causing issues with the latest NCCL release builds.
* Improved NVLS/NVLSTree tuning prediction to improve algorithm and protocol selection.
* NVLSTree Tuning Fixes. Update tuning data for H100, GB200-NV72.
* Respond better to RoCE link flaps. Instead of reporting an “unknown event” it will now report “GID table changed”.
* Move libvirt bridge interface to the end of possible interfaces so that they are considered last. These interfaces are usually virtual bridges to relay traffic to containers running on the host and cannot be used for traffic to a remote node and are therefore unsuitable.
* rocprofv3-avail scrip fix
* addressing feedback
* formatting
* rocprofv3 and rocprofv3-avail to display help when no args are provided
---------
Co-authored-by: gobhardw <gopesh.bhardwaj@amd.com>
* SWDEV-515512 - Enable memcpy synchronization_behaviour tests
* SWDEV-515512 - Remove invalid parts of the tests
* SWDEV-515512 - Format the code
---------
Co-authored-by: Marko Arandjelovic <Marko.Arandjelovic@amd.com>
* SWDEV-548482 - Address memory leaks in memory tests
* SWDEV-547453 - Do not alter the dev_ptr if operation is not successfull
* SWDEV-548482 - Minor tweaks
* SWDEV-548482 - Move eventlist release after the command is created
---------
Co-authored-by: Marko Arandjelovic <Marko.Arandjelovic@amd.com>
Aryan Salmanpour
vedithal-amd
jamessiddeley-amd
SaleelK
marandje
vstojilj
German Andryeyev
Ioannis Assiouras
RahulC
systems-assistant[bot]
estewart08
David Galiffi
Ammar ELWazir
Saurabh Verma
Pengda Xie
Ajay GunaShekar
Satyanvesh Dittakavi
Venkateshwar Reddy Kandula
Mustafa Abduljabbar
Sajina PK
Mario Limonciello (AMD)
Scott Todd
Mark Santesson
Maisam Arif
Kiriti Gowda
Avinash Kethineedi