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https://issues.apache.org/jira/browse/SPARK-31506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiaochang Wu updated SPARK-31506:
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Description:
BLAS are highly optimized routines 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 native optimization for dense and naive
Java implementation for sparse.
We would like to introduce native optimization support for Sparse BLAS
operations related to machine learning and produce benchmarks.
was:
BLAS are highly optimized routines 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 native optimization for dense and naive
Java implementation for sparse.
We would like to introduce native optimization support for Sparse BLAS
operations related to machine learning and produce benchmarks.
> 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
> Priority: Major
>
> BLAS are highly optimized routines 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 native optimization for dense and naive
> Java implementation for sparse.
> We would like to introduce native optimization support for Sparse BLAS
> operations related to machine learning and produce benchmarks.
>
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