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https://issues.apache.org/jira/browse/SPARK-3418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Burak Yavuz updated SPARK-3418:
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Summary: [MLlib] Additional BLAS and Local Sparse Matrix support (was:
Additional BLAS and Local Sparse Matrix support)
> [MLlib] Additional BLAS and Local Sparse Matrix support
> -------------------------------------------------------
>
> Key: SPARK-3418
> URL: https://issues.apache.org/jira/browse/SPARK-3418
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Burak Yavuz
>
> Currently MLlib doesn't have Level-2 and Level-3 BLAS support. For
> Multi-Model training, adding support for Level-3 BLAS functions is vital.
> In addition, as most real data is sparse, support for Local Sparse Matrices
> will also be added, as supporting sparse matrices will save a lot of memory
> and will lead to better performance. The ability to left multiply a dense
> matrix with a sparse matrix, i.e. `C := alpha * A * B + beta * C` where `A`
> is a sparse matrix will also be added. However, `B` and `C` will remain as
> Dense Matrices for now.
> I will post performance comparisons with other libraries that support sparse
> matrices such as Breeze and Matrix-toolkits-JAVA (MTJ) in the comments.
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