[
https://issues.apache.org/jira/browse/SYSTEMML-1436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15944123#comment-15944123
]
Krishna Kalyan commented on SYSTEMML-1436:
------------------------------------------
Hello [~nakul02],
I am would like to work on this. Could you please let me know on how to
proceed?. I have worked with GPUs before, specifically for deep learning and do
not have CUDA programming experience. (I think this would be a good learning
experience)
Regards,
Krishna
> Improve Sparse matrix support for GPU operations
> ------------------------------------------------
>
> Key: SYSTEMML-1436
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1436
> Project: SystemML
> Issue Type: Task
> Components: Runtime
> Reporter: Nakul Jindal
> Labels: cuda, deeplearning, gpu, gsoc2017, mentor
>
> SystemML has a preliminary set of GPU implementation for its primitive
> operations (Matmult, reductions, neural net operations among others).
> Currently, these GPU operations work when SystemML is run on a single machine
> (either using the Standalone mode or Spark mode). Programs written in the
> external DSLs (DML & PyDML) and internal DSLs (Python and Scala) can enable
> the use of these GPUs.
> SystemML is aware of sparsity in matrix blocks and encodes them differently.
> It has 3 different types of Sparse formats (CSR, COO & a custom MCSR). A lot
> of the GPU operations are implemented for dense matrix blocks; for some GPU
> operations, when sparse matrices are encountered, they are first converted to
> dense and then sent to the GPU.
> - This project is to implement CUDA kernels for Sparse Matrix blocks
> - Operations to be implemented include reductions, element-wise operations,
> neural network operations among others
> This project is fairly isolated from the internal compiler & optimizer,
> therefore a thorough knowledge of the entire system will not be needed.
> Knowledge of CUDA programming is preferred.
> For a initial implementation, the most efficient CUDA kernel is not required.
> Rating - Medium
> Mentors - [~nakul02], (optionally [~niketanpansare])
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
