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Efficient GPU kernels for block-sparse matrix multiplication
...In addition to low-level kernels, it includes wrapper code for integrating with TensorFlow, example scripts (e.g. a transformer on the enwik8 dataset), transformer logic that uses blocksparse operations, and debugging helpers.
Plugins for the Code::Blocks IDE to support interpreted languages. File Manager and Tools+ plugins are now part of Code::Blocks contrib. Code in SVN. Active development is at github.com/spillz/codeblocks-python. SVN here is no longer maintained.
A Python-based macro processing tool to extend C-like languages with DSLs. MP reduces the amount of work necessary to extend C by extracting the relevant blocks to process and calling user-supplied Python functions to handle the macro.