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Posted to issues@spark.apache.org by "Xiaochang Wu (Jira)" <ji...@apache.org> on 2020/04/21 07:12:00 UTC

[jira] [Created] (SPARK-31506) Sparse BLAS native optimization

Xiaochang Wu created SPARK-31506:
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             Summary: Sparse BLAS native optimization
                 Key: SPARK-31506
                 URL: https://issues.apache.org/jira/browse/SPARK-31506
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 3.1.0
            Reporter: Xiaochang Wu


BLAS routines are highly optimized routine by the industry. If take advantage of it, we can leverage hardware vendors' low-level optimization when available. 

[Sparse BLAS|[https://math.nist.gov/spblas/]] also has [native optimization|[https://software.intel.com/en-us/mkl-developer-reference-c-sparse-blas-level-2-and-level-3-routines]], but current BLAS in Spark only has naive Java implementation for it.

We would like to introduce native optimization support for Sparse BLAS operations related to machine learning and produce benchmarks. 

 



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