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Posted to issues@systemml.apache.org by "Janardhan (JIRA)" <ji...@apache.org> on 2017/12/08 17:17:00 UTC

[jira] [Created] (SYSTEMML-2041) Implement Block-Sparse GPU Kernels

Janardhan created SYSTEMML-2041:
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             Summary: Implement Block-Sparse GPU Kernels
                 Key: SYSTEMML-2041
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-2041
             Project: SystemML
          Issue Type: New Feature
          Components: Infrastructure
            Reporter: Janardhan
         Attachments: GPU Kernels for Block-Sparse Weights.pdf

Sparsity enables, for example, training of neural networks that are much wider and deeper than otherwise possible with a given parameter budget and computational budget, such as LSTMs with tens of thousands of hidden units. (The largest LSTMs trained today are only thousands of hidden units.)

*Resource:* TensorFlow implemented repo - https://github.com/openai/blocksparse




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