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v2025.03.0

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@rhornung67 rhornung67 released this 17 Mar 15:28
· 1462 commits to main since this release
v2025.03.0
1d70abf
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This release contains new features, bug fixes, and updates to submodule dependencies.

Please download the RAJA-v2025.03.0.tar.gz file below. The others, generated by GitHub, may not work for you due to RAJA's dependencies on git submodules.

Notable changes include:

  • New features / API changes:

    • Added improved support for perfectly nested loops in RAJA::launch.
    • Added helper methods to simplify the creation of RAJA View objects with permutations of stride ordering. Examples and user docs have also been added.
    • Added GPU policies for CUDA and HIP that do not check loop bounds when they do not need to be checked in a kernel. This can help improve performance by up to 5%. The new policies are documented in the RAJA user guide and include direct_unchecked in their names.
    • Refactored the new (experimental) RAJA reduction interface to have consistent min/max/loc operator semantics and added type safety to reduce erroneous usage. Changes are described in the RAJA User Guide.
    • Added support for new RAJA reduction interface to RAJA::dynamic_forall and pulled dynamic_forall out of RAJA expt namespace.
    • Added RAJA_HIP_WAVESIZE CMake option to set the wave size for HIP builds. It defaults to 64 but can be set to 32, for example, to build RAJA to run on Radeon gaming cards.

  • Build changes/improvements:

    • Update BLT to v0.7.0 release.
    • Update camp submodule to v2025.03.0 release.
    • Update desul submodule to 6114dd25b54782678c555c0c1d2197f13cc8d2a0 commit.
    • Added clang-format CI check (clang 14) that must pass before a PR can be merged -- noted here so external contributors are aware.

  • Bug fixes/improvements:

    • Resolved undefined behavior related to constructing uniform_int_distribution with min > max. This was causing some Windows tests to fail.
    • Corrected call to wrong global function when using a fixed CUDA policy and reductions in RAJA::launch kernel -- potential performance issue.
    • Fixed memory leak in RAJA::launch OpenMP back-end.
    • Added missing host-device decorations to some math utility functions.
    • Fixed MSVC compilation failures with 64-bit intrinsics in x86 Windows builds.
    • Fixed issue so that a kernel will no longer be launched when there is no work for it to do; i.e., no active iteration space entries.
    • Removed invalid C++ usage in implementation of RAJA::kernel initLocalMem statement, which was causing large warning messages during compilation.
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