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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