{math}[foss/2024a] magma v2.9.0 w/ CUDA 12.6.0 by jpecar · Pull Request #23432 · easybuilders/easybuild-easyconfigs

jpecar · 2025-07-16T11:44:11Z

(created using eb --new-pr)

github-actions · 2025-07-16T11:44:50Z

Updated software `magma-2.9.0-foss-2024a-CUDA-12.6.0.eb`

Diff against magma-2.7.2-foss-2023b-CUDA-12.4.0.eb

easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023b-CUDA-12.4.0.eb

diff --git a/easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023b-CUDA-12.4.0.eb b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
index 26a36f2542..fe10cf77dc 100644
--- a/easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023b-CUDA-12.4.0.eb
+++ b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
@@ -1,38 +1,37 @@
 easyblock = 'CMakeMake'
 
 name = 'magma'
-version = '2.7.2'
+version = '2.9.0'
 versionsuffix = '-CUDA-%(cudaver)s'
 
 homepage = 'https://icl.cs.utk.edu/magma/'
 description = """The MAGMA project aims to develop a dense linear algebra library similar to
  LAPACK but for heterogeneous/hybrid architectures, starting with current Multicore+GPU systems."""
 
-toolchain = {'name': 'foss', 'version': '2023b'}
+toolchain = {'name': 'foss', 'version': '2024a'}
 toolchainopts = {'pic': True, 'openmp': True}
 
 source_urls = ['https://icl.cs.utk.edu/projectsfiles/%(name)s/downloads/']
 sources = [SOURCE_TAR_GZ]
-patches = ['%(name)s-2.7.2_allow-all-sms.patch']
 checksums = [
-    {'magma-2.7.2.tar.gz': '729bc1a70e518a7422fe7a3a54537a4741035a77be3349f66eac5c362576d560'},
-    {'magma-2.7.2_allow-all-sms.patch': '2996485844d7e199ea57eaebf59903d3514a03536f82b655ce30de480e28b828'},
+    {'magma-2.9.0.tar.gz': 'ff77fd3726b3dfec3bfb55790b06480aa5cc384396c2db35c56fdae4a82c641c'},
 ]
 
 builddependencies = [
-    ('CMake', '3.27.6'),
+    ('CMake', '3.29.3'),
 ]
 dependencies = [
-    ('CUDA', '12.4.0', '', SYSTEM),
-    ('UCX-CUDA', '1.15.0', versionsuffix),
+    ('CUDA', '12.6.0', '', SYSTEM),
+    ('UCX-CUDA', '1.16.0', versionsuffix),
 ]
 
 # default CUDA compute capabilities to use (override via --cuda-compute-capabilities)
 cuda_compute_capabilities = ['5.0', '6.0', '7.0', '7.5', '8.0', '8.6', '9.0']
 
 # make sure both static and shared libs are built
+# magma.so is large, compress it to avoid link failure
 configopts = [
-    '-DBUILD_SHARED_LIBS=%s \
+    '-DBUILD_SHARED_LIBS=%s -DCMAKE_CUDA_FLAGS="-Xfatbin -compress-all" \
      -DGPU_TARGET="%%(cuda_sm_space_sep)s" ' % local_shared for local_shared in ('ON', 'OFF')
 ]

Diff against magma-2.7.1-foss-2022b-CUDA-11.7.0.eb

easybuild/easyconfigs/m/magma/magma-2.7.1-foss-2022b-CUDA-11.7.0.eb

diff --git a/easybuild/easyconfigs/m/magma/magma-2.7.1-foss-2022b-CUDA-11.7.0.eb b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
index 6ac5dc2ddc..fe10cf77dc 100644
--- a/easybuild/easyconfigs/m/magma/magma-2.7.1-foss-2022b-CUDA-11.7.0.eb
+++ b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
@@ -1,35 +1,38 @@
 easyblock = 'CMakeMake'
 
 name = 'magma'
-version = '2.7.1'
+version = '2.9.0'
 versionsuffix = '-CUDA-%(cudaver)s'
 
 homepage = 'https://icl.cs.utk.edu/magma/'
 description = """The MAGMA project aims to develop a dense linear algebra library similar to
  LAPACK but for heterogeneous/hybrid architectures, starting with current Multicore+GPU systems."""
 
-toolchain = {'name': 'foss', 'version': '2022b'}
+toolchain = {'name': 'foss', 'version': '2024a'}
 toolchainopts = {'pic': True, 'openmp': True}
 
 source_urls = ['https://icl.cs.utk.edu/projectsfiles/%(name)s/downloads/']
 sources = [SOURCE_TAR_GZ]
-checksums = ['d9c8711c047a38cae16efde74bee2eb3333217fd2711e1e9b8606cbbb4ae1a50']
+checksums = [
+    {'magma-2.9.0.tar.gz': 'ff77fd3726b3dfec3bfb55790b06480aa5cc384396c2db35c56fdae4a82c641c'},
+]
 
 builddependencies = [
-    ('CMake', '3.24.3'),
+    ('CMake', '3.29.3'),
 ]
 dependencies = [
-    ('CUDA', '11.7.0', '', SYSTEM),
-    ('UCX-CUDA', '1.13.1', versionsuffix),
+    ('CUDA', '12.6.0', '', SYSTEM),
+    ('UCX-CUDA', '1.16.0', versionsuffix),
 ]
 
 # default CUDA compute capabilities to use (override via --cuda-compute-capabilities)
-cuda_compute_capabilities = ['3.5', '5.0', '6.0', '7.0', '7.5', '8.0', '8.6']
+cuda_compute_capabilities = ['5.0', '6.0', '7.0', '7.5', '8.0', '8.6', '9.0']
 
 # make sure both static and shared libs are built
-local_common_opts = '-DCMAKE_CUDA_FLAGS=-allow-unsupported-compiler -DGPU_TARGET="%%(cuda_sm_space_sep)s"'
+# magma.so is large, compress it to avoid link failure
 configopts = [
-    (local_common_opts + ' -DBUILD_SHARED_LIBS=%s ') % local_shared for local_shared in ('ON', 'OFF')
+    '-DBUILD_SHARED_LIBS=%s -DCMAKE_CUDA_FLAGS="-Xfatbin -compress-all" \
+     -DGPU_TARGET="%%(cuda_sm_space_sep)s" ' % local_shared for local_shared in ('ON', 'OFF')
 ]
 
 sanity_check_paths = {

Diff against magma-2.7.2-foss-2023a-CUDA-12.1.1.eb

easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023a-CUDA-12.1.1.eb

diff --git a/easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023a-CUDA-12.1.1.eb b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
index 6f1484e887..fe10cf77dc 100644
--- a/easybuild/easyconfigs/m/magma/magma-2.7.2-foss-2023a-CUDA-12.1.1.eb
+++ b/easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb
@@ -1,38 +1,37 @@
 easyblock = 'CMakeMake'
 
 name = 'magma'
-version = '2.7.2'
+version = '2.9.0'
 versionsuffix = '-CUDA-%(cudaver)s'
 
 homepage = 'https://icl.cs.utk.edu/magma/'
 description = """The MAGMA project aims to develop a dense linear algebra library similar to
  LAPACK but for heterogeneous/hybrid architectures, starting with current Multicore+GPU systems."""
 
-toolchain = {'name': 'foss', 'version': '2023a'}
+toolchain = {'name': 'foss', 'version': '2024a'}
 toolchainopts = {'pic': True, 'openmp': True}
 
 source_urls = ['https://icl.cs.utk.edu/projectsfiles/%(name)s/downloads/']
 sources = [SOURCE_TAR_GZ]
-patches = ['%(name)s-2.7.2_allow-all-sms.patch']
 checksums = [
-    {'magma-2.7.2.tar.gz': '729bc1a70e518a7422fe7a3a54537a4741035a77be3349f66eac5c362576d560'},
-    {'magma-2.7.2_allow-all-sms.patch': '2996485844d7e199ea57eaebf59903d3514a03536f82b655ce30de480e28b828'},
+    {'magma-2.9.0.tar.gz': 'ff77fd3726b3dfec3bfb55790b06480aa5cc384396c2db35c56fdae4a82c641c'},
 ]
 
 builddependencies = [
-    ('CMake', '3.26.3'),
+    ('CMake', '3.29.3'),
 ]
 dependencies = [
-    ('CUDA', '12.1.1', '', SYSTEM),
-    ('UCX-CUDA', '1.14.1', versionsuffix),
+    ('CUDA', '12.6.0', '', SYSTEM),
+    ('UCX-CUDA', '1.16.0', versionsuffix),
 ]
 
 # default CUDA compute capabilities to use (override via --cuda-compute-capabilities)
 cuda_compute_capabilities = ['5.0', '6.0', '7.0', '7.5', '8.0', '8.6', '9.0']
 
 # make sure both static and shared libs are built
+# magma.so is large, compress it to avoid link failure
 configopts = [
-    '-DBUILD_SHARED_LIBS=%s \
+    '-DBUILD_SHARED_LIBS=%s -DCMAKE_CUDA_FLAGS="-Xfatbin -compress-all" \
      -DGPU_TARGET="%%(cuda_sm_space_sep)s" ' % local_shared for local_shared in ('ON', 'OFF')
 ]

jpecar · 2025-07-16T11:46:09Z

This will be needed for pytorch-2.6 cuda build ...

It needs a hack to tell nvcc to compress resulting .so files as without it they're so large that they fail to link. I'm open to suggestions how to rewrite it in a cleaner way.

easybuild/easyconfigs/m/magma/magma-2.9.0-foss-2024a-CUDA-12.6.0.eb

branfosj · 2025-07-19T18:00:50Z

@boegelbot please test @ jsc-zen3-a100

boegelbot · 2025-07-19T18:10:12Z

@branfosj: Request for testing this PR well received on jsczen3l1.int.jsc-zen3.fz-juelich.de

PR test command 'if [[ develop != 'develop' ]]; then EB_BRANCH=develop ./easybuild_develop.sh 2> /dev/null 1>&2; EB_PREFIX=/home/boegelbot/easybuild/develop source init_env_easybuild_develop.sh; fi; EB_PR=23432 EB_ARGS= EB_CONTAINER= EB_REPO=easybuild-easyconfigs EB_BRANCH=develop /opt/software/slurm/bin/sbatch --job-name test_PR_23432 --ntasks=8 --partition=jsczen3g --gres=gpu:1 ~/boegelbot/eb_from_pr_upload_jsc-zen3.sh' executed!

exit code: 0
output:

Submitted batch job 7296

Test results coming soon (I hope)...

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Message to humans: this is just bookkeeping information for me,
it is of no use to you (unless you think I have a bug, which I don't).

boegelbot · 2025-07-19T18:44:28Z

Test report by @boegelbot
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
jsczen3g1.int.jsc-zen3.fz-juelich.de - Linux Rocky Linux 9.5, x86_64, AMD EPYC-Milan Processor (zen3), 1 x NVIDIA NVIDIA A100 80GB PCIe, 555.42.06, Python 3.9.21
See https://gist.github.com/boegelbot/62e388e271564b380a2c7b432c27b080 for a full test report.

branfosj · 2025-07-19T18:57:19Z

Test report by @branfosj
SUCCESS
Build succeeded for 1 out of 1 (1 easyconfigs in total)
bear-pg0208u11a - Linux RHEL 8.10, x86_64, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz (icelake), 1 x NVIDIA NVIDIA A100-SXM4-80GB, 560.35.05, Python 3.6.8
See https://gist.github.com/branfosj/61e45b0bd25c52fe4743580d0a05c6a8 for a full test report.

branfosj · 2025-07-19T19:00:42Z

Going in, thanks @jpecar!

adding easyconfigs: magma-2.9.0-foss-2024a-CUDA-12.6.0.eb

14a51a8

github-actions bot added the update label Jul 16, 2025

jpecar mentioned this pull request Jul 17, 2025

{bio}[foss/2024a] dorado v1.0.2 w/ CUDA 12.6.0 #23436

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branfosj requested changes Jul 19, 2025

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branfosj added this to the release after 5.1.1 milestone Jul 19, 2025

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branfosj merged commit 331ae0e into easybuilders:develop Jul 19, 2025
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arielzn mentioned this pull request Sep 17, 2025

{ai}[foss/2024a] PyTorch v2.6.0 w/ CUDA 12.6.0 #23433

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{math}[foss/2024a] magma v2.9.0 w/ CUDA 12.6.0#23432

{math}[foss/2024a] magma v2.9.0 w/ CUDA 12.6.0#23432
branfosj merged 2 commits intoeasybuilders:developfrom
jpecar:20250716134406_new_pr_magma290

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Updated software magma-2.9.0-foss-2024a-CUDA-12.6.0.eb

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Updated software `magma-2.9.0-foss-2024a-CUDA-12.6.0.eb`