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author | Brian Van Essen <vanessen1@llnl.gov> | 2017-02-13 11:57:46 -0800 |
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committer | becker33 <becker33@llnl.gov> | 2017-02-13 11:57:46 -0800 |
commit | 56952aaf1f1eace70c4a21d82c54f90bfb176cae (patch) | |
tree | cfa855239c2810d7136dd9bc473292aeb58df1e5 /share | |
parent | e34acd007413970974e81628208c150532feed5f (diff) | |
download | spack-56952aaf1f1eace70c4a21d82c54f90bfb176cae.tar.gz spack-56952aaf1f1eace70c4a21d82c54f90bfb176cae.tar.bz2 spack-56952aaf1f1eace70c4a21d82c54f90bfb176cae.tar.xz spack-56952aaf1f1eace70c4a21d82c54f90bfb176cae.zip |
LBANN (#3049)
* Creating a spack package for LLNL's LBANN (Livermore Big
Artificial Neural Network) training toolkit.
* Recipe for building LBANN toolkit. Contains limited feature set and
is optimized for building with GNU gcc and OpenBLAS.
* Removed unnecessary dependencies based on reviewers feedback.
* Added support for the int64 data type in the Elemental library. This
is required for supporting indices for large matrices.
* Added a variant to force a sequential weight matrix initialization.
This is slow, but provides an initialization that is independent of
model parallelism.
* Added a guard to prevent building Elemental with the Intel compiler
for versions that have known bugs.
Diffstat (limited to 'share')
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