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Changes in v2025.03.0 compared to develop #1803

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c20422b
Update version number for upcoming release.
rhornung67 Feb 25, 2025
b9b9153
Update release notes.
rhornung67 Feb 25, 2025
a8cfc87
Merge branch 'develop' into v2025.03.0-RC
rhornung67 Mar 12, 2025
cf2edc5
Update release notes and version number
rhornung67 Mar 12, 2025
e4df177
Bump lassen allocation to avoid job timeouts
rhornung67 Mar 13, 2025
76d1edb
Set release date for Monday 3/17.
rhornung67 Mar 13, 2025
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2 changes: 1 addition & 1 deletion .gitlab/custom-jobs-and-variables.yml
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Expand Up @@ -56,7 +56,7 @@ variables:
# Lassen and Butte use a different job scheduler (spectrum lsf) that does not
# allow pre-allocation the same way slurm does.
# Arguments for job level allocation
LASSEN_JOB_ALLOC: "1 -W 40 -q pci"
LASSEN_JOB_ALLOC: "1 -W 45 -q pci"
# Project specific variants for lassen
PROJECT_LASSEN_VARIANTS: "~shared +openmp +vectorization +tests cuda_arch=70"
# Project specific deps for lassen
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4 changes: 2 additions & 2 deletions CMakeLists.txt
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Expand Up @@ -14,8 +14,8 @@ endif()
include(CMakeDependentOption)

# Set version number
set(RAJA_VERSION_MAJOR 2024)
set(RAJA_VERSION_MINOR 07)
set(RAJA_VERSION_MAJOR 2025)
set(RAJA_VERSION_MINOR 03)
set(RAJA_VERSION_PATCHLEVEL 0)

if (RAJA_LOADED AND (NOT RAJA_LOADED STREQUAL "${RAJA_VERSION_MAJOR}.${RAJA_VERSION_MINOR}.${RAJA_VERSION_PATCHLEVEL}"))
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2 changes: 1 addition & 1 deletion RELEASE
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@@ -1,6 +1,6 @@
*******************************************************************************

RAJA: ................................, version 2023.06.1
RAJA: ................................, version 2025.03.0

Copyright (c) 2016-25, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory.
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50 changes: 50 additions & 0 deletions RELEASE_NOTES.md
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Expand Up @@ -20,6 +20,56 @@ Notable changes include:
* Bug fixes/improvements:


Version 2025.03.0 -- Release date 2025-03-17
============================================

This release contains new features, bug fixes, and updates to submodule
dependencies.

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.


Version 2024.07.0 -- Release date 2024-07-24
============================================

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4 changes: 2 additions & 2 deletions docs/conf.py
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Expand Up @@ -87,9 +87,9 @@
# built documents.
#
# The short X.Y version.
version = u'2024.07'
version = u'2025.03'
# The full version, including alpha/beta/rc tags.
release = u'2024.07.0'
release = u'2025.03.0'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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