GitHub user brkyvz opened a pull request: https://github.com/apache/spark/pull/2294
[SPARK-3418] Sparse Matrix support (CCS) and additional native BLAS operations added Local `SparseMatrix` support added in Compressed Column Storage (CCS) format in addition to Level-2 and Level-3 BLAS operations such as dgemv and dgemm respectively. BLAS doesn't support sparse matrix operations, therefore support for `SparseMatrix`-`DenseMatrix` multiplication and `SparseMatrix`-`DenseVector` implementations have been added. I will post performance comparisons in the comments momentarily. You can merge this pull request into a Git repository by running: $ git pull https://github.com/brkyvz/spark SPARK-3418 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/2294.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #2294 ---- commit 5138d3f220efb8ec4cc7fc944112497ab0c8c50c Author: Burak <brk...@gmail.com> Date: 2014-09-05T20:34:24Z [SPARK-3418][MLlib] Sparse Matrix support and additional native BLAS operations added commit 4362ff1d6b79604b9919da1d550ed466021b8f5c Author: Burak <brk...@gmail.com> Date: 2014-09-05T20:51:45Z [SPARK-3418][MLlib] Matrix unit tests expanded with indexing and updating ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org