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authorBrian Van Essen <vanessen1@llnl.gov>2017-02-13 11:57:46 -0800
committerbecker33 <becker33@llnl.gov>2017-02-13 11:57:46 -0800
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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.
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