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* Added guard for setting CUB_DIR to only when cuda variant is true
* Added support for OpenMP on OSX platforms
* Updated the way that LBANN, Hydrogen, and DiHydrogen handle
apple-clang with OpenMP and Clang installed on OS X via brew.
* Fixed bug in spec resolution
* Fixed merge conflict
* Fixed typo
* Fixed flake8
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* Added cuda support
* Added cuda and nvml variants
* Refined version conflict logic.
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Since spack no longer offers NWChem 6.6, there is no need of the patch lines.
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* # FIXME: Add a list of GitHub accounts to
# FIXME: Add a list of GitHub accounts to
Package for r-tximportData
* Fixed file format / flake8 errors
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As noted in #19899 and introduced by #19827
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Newest podio can use SIO as backend
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hip-rocclr and atmi (#19832)
* AMD - Bumped up version for hip-rocclr, rocm-opencl, rocm-smi-lib
* AMD ROCm - HIP update and bump up version to 3.9.0 for rccl,debug agent, hip-rocclr and atmi
* Update package.py
* Update package.py
* Update package.py
* Update var/spack/repos/builtin/packages/hip/package.py
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>
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* openfoam: Fix for aarch64
* openfoam: Add comment for openfoam-org
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Co-authored-by: root <root@mlseqa-hyd-virt-srv-07.amd.com>
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Co-authored-by: Joe Schoonover <joe@fluidnumerics.com>
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Since #11598 sbang has been installed within the install_tree. This doesn’t play
nicely with install_tree padding, since sbang can’t do its job if it is installed in a
long path (this is the whole point of sbang).
This PR changes the padding specification. Instead of $padding inside paths,
we now have a separate `padding:` field in the `install_tree` configuration.
Previously, the `install_tree` looked like this:
```
/path/to/opt/spack_padding_padding_padding_padding_padding/
bin/
sbang
.spack-db/
...
linux-rhel7-x86_64/
...
```
```
This PR updates things to look like this:
/path/to/opt/
bin/
sbang
spack_padding_padding_padding_padding_padding/
.spack-db/
...
linux-rhel7-x86_64/
...
So padding is added at the start of all install prefixes *within* the unpadded
root. The database and all installations still go under the padded root.
This ensures that `sbang` is in the shorted possible path while also allowing
us to make long paths for relocatable binaries.
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As of #18205, all packages must be pickle-able to be installed by
Spack.
This adds a test to check that each package can be pickled. If any
package fails to pickle, the test keeps going and collects the names
of all failed packages; it then takes the first one that failed and
attempts to re-pickle it, generating the full stack trace for the
failed pickle attempt.
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* py-matplotlib: set LIBRARY_PATH to locate link deps
* py-matplotlib: add v3.3.3
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* [gaudi] v35r0
* [gaudi] format
* [gaudi] comments from #19878
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Spack creates a separate process to do package installation. Different
operating systems and Python versions use different methods to create
it but up until Python 3.8 both Linux and Mac OS used "fork" (which
duplicates process memory, file descriptor table, etc.).
Python >= 3.8 on Mac OS prefers creating an entirely new process
(referred to as the "spawn" start method) because "fork" was found to
cause issues (in other words "spawn" is the default start method used
by multiprocessing.Process). Spack was dependent on the particular
behavior of fork to replicate process memory and transmit file
descriptors.
This PR refactors the Spack internals to support starting a child
process with the "spawn" method. To achieve this, it makes the
following changes:
- ensure that the package repository and other global state are
transmitted to the child process
- ensure that file descriptors are transmitted to the child process in
a way that works with multiprocessing and spawn
- make all the state needed for the build process and tests picklable
(package, stage, etc.)
- move a number of locally-defined functions into global scope so that
they can be pickled
- rework tests where needed to avoid using local functions
This PR also reworks sbang tests to work on macOS, where temporary
directories are deeper than the Linux sbang limit. We make the limit
platform-dependent (macOS supports 512-character shebangs)
See: #14102
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In compiler bootstrapping pipelines, we add an artificial dependency
between jobs for packages to be built with a bootstrapped compiler
and the job building the compiler. To find the right bootstrapped
compiler for each spec, we compared not only the compiler spec to
that required by the package spec, but also the architectures of
the compiler and package spec.
But this prevented us from finding the bootstrapped compiler for a
spec in cases where the architecture of the compiler wasn't exactly
the same as the spec. For example, a gcc@4.8.5 might have
bootstrapped a compiler with haswell as the architecture, while the
spec had broadwell. By comparing the families instead of the architecture
itself, we know that we can build the zlib for broadwell with the gcc for
haswell.
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Update:
hypre@2.20.0
mfem@4.2.0
superlu-dist@6.4.0
trilinos@13.0.1
datatransferkit@3.1-rc2
petsc@3.14.1
dealii@9.2.0
pflotran@xsdk-0.6.0
alquimia@xsdk-0.6.0
sundials@5.5.0
plasma@20.9.20
magma@2.5.4
amrex@20.10
slepc@3.14.0
omega-h@9.32.5
strumpack@5.0.0
pumi@2.2.5
tasmanian@7.3
phist@1.9.3
ginkgo@1.3.0
py-libensemble@0.7.1
precice@2.1.1
butterflypack@1.2.1
New:
heffte@2.0.0
slate@2020.10.00
Variants:
datatransferkit
heffte
slate
petsc: enable +cuda
sundials: enable +cuda +trilinos
strumpack: enable +cuda
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* py-json-get: new package at 1.1.1
* py-json-get: new package at 1.1.1
* r-bigalgebra: new package at 0.8.4
* r-bigalgebra: new package at 0.8.4 with corrections
* Added an additional change to tarball and dependencies
* removing accidentally added file
* Added tarball that uses mirror and removed redundant dependencies
* Fixed version and added dep.
* Updated checksum
* Fixed urls
* Added list_url
Co-authored-by: las_djorton <las_djorton@build.las.iastate.edu>
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* Add CUDA support to superlu-dist
* Use spec['cuda'].libs.directories[0] iso spec['cuda'].prefix.lib
so it works for both lib and lib64
The suggested:
args.append('-DTPL_CUDA_LIBRARIES=' +
spec['cuda'].libs.ld_flags)
did not work because it does not link with cuBLAS.
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