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* Add the 'exciting' package.
Version 14 (latest available) is defined.
An as-of-yet unpublished patch (dfgather.patch) from the developers is also
included.
* fixed flake8 errors (I *thought* I had already gotten them! OOPS!)
* Update var/spack/repos/builtin/packages/exciting/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* fixed install method to just do the install, and no build method is needed.
* *Actually* added the lapack dependency!
* removed variant from blas dependency
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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* h5cpp: Correct checksum and build instructions
Closes https://github.com/spack/spack/issues/20046.
* h5cpp: Update to 1.10.4-6
* Update var/spack/repos/builtin/packages/h5cpp/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* h5cpp: Correct formatting
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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Drop the preferred label from 6.20.x.
Let's just default to the latest (production) version.
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Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
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* [root] fix rootfit/roofit variant
fix typo
* Update var/spack/repos/builtin/packages/root/package.py
Co-authored-by: Hadrien G. <knights_of_ni@gmx.com>
Co-authored-by: Hadrien G. <knights_of_ni@gmx.com>
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(same fix for py-tensorboard-plugin-wit)
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Add the latest pybind11 release.
Since release 2.6.0 was a major release with many changes in the
build system, prefer 2.5.0 for now.
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Also added maintainers for the package recipe.
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Co-authored-by: Massimiliano Culpo <massimiliano.culpo@gmail.com>
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At least xcb-proto 1.14.1 is only avaiable from the new URL, so change
both to be future-proof.
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Big Sur versions go 11.0, 11.0.1, 11.1 (vs. prior versions that
only used the minor component)
Co-authored-by: Todd Gamblin <tgamblin@llnl.gov>
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* Add sionlib and linktest packages
* fix flake8
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* nersc e4s pipeline trigger
* Update nersc_pipeline.yml
* Update nersc_pipeline.yml
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* Add relocatable code flag to trilinos
* Make CUDA RDC and varainat
* adjust default of cuda_rdc
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* fix: leading . is not needed in extension kwarg
* mfem: add support for NVIDIA AmgX
fix: proper spacing
* mfem: use conflict to indicate that AmgX is expected to depend on CUDA
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Disable dataman by default. It pulls heavy dependencies that are
often not needed for HPC (ZMQ) and it currently does not link
with popular compilers.
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fixes #19966
Global arrays supports GCC 10 since version 5.7.1,
therefore a conflict has been added to avoid old
releases to error at build-time.
Removed the 'blas' and 'lapack' variant since
BLAS and LAPACK are always a dependency, and
if not specified during configure, a version
of these APIs vendored with Global Arrays is
built.
Fixed a few options in configuration.
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* simde: New package
* remove 0.5.0.
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The point of this variant is to give the end user an option to use system
installed fabrics such as mofed instead of upstream fabrics such as rdma-core.
This was found to avoid run time errors on some systems.
Co-authored-by: nithintsk <nithintsk@github.com>
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Added flags for:
- Debug symbols
- C++17 standard
Fixed the list of flags for generic optimizations
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This PR fixes two problems with clang/llvm's version detection. clang's
version output looks like this:
```
clang version 11.0.0
Target: x86_64-unknown-linux-gnu
```
This caused clang's version to be misdetected as:
```
clang@11.0.0
Target:
```
This resulted in errors when trying to actually use it as a compiler.
When using `spack external find`, we couldn't determine the compiler
version, resulting in errors like this:
```
==> Warning: "llvm@11.0.0+clang+lld+lldb" has been detected on the system but will not be added to packages.yaml [reason=c compiler not found for llvm@11.0.0+clang+lld+lldb]
```
Changing the regex to only match until the end of the line fixes these
problems.
Fixes: #19473
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When building llvm with CUDA support, it needs to find libffi. Without
pkg-config, libffi will not be found.
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* Updated the cuDNN recipe to generate the proper version names for only
the arhcitecture that you are on. This prevents the concretizer from
selecting a source code version that is incompatible with your current
architecture. Additionally, add constraints to ensure that the
corresponding CUDA version is properly set as well.
* Added maintainer
* Fixed renaming for darwin systems
* Fixed flake8
* Fixed flake8
* Fixed range typo
* Update var/spack/repos/builtin/packages/cudnn/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
* Fixed style issues
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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* seems to have been introduced errorously by users using gitk-based
workflows. This should be handled by the git package
* fixes build problems on OSX bigsur
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