[jira] [Created] (SPARK-35150) Accelerate fallback BLAS with dev.ludovic.netlib

["Ludovic Henry (Jira)" <ji...@apache.org>]

Ludovic Henry created SPARK-35150:
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             Summary: Accelerate fallback BLAS with dev.ludovic.netlib
                 Key: SPARK-35150
                 URL: https://issues.apache.org/jira/browse/SPARK-35150
             Project: Spark
          Issue Type: Improvement
          Components: GraphX, ML, MLlib
    Affects Versions: 3.2.0
            Reporter: Ludovic Henry


Following https://github.com/apache/spark/pull/30810, I've continued looking for ways to accelerate the usage of BLAS in Spark. With this PR, I integrate work done in the [{{dev.ludovic.netlib}}|https://github.com/luhenry/netlib/] Maven package.

The {{dev.ludovic.netlib}} library wraps the original {{com.github.fommil.netlib}} library and focus on accelerating the linear algebra routines in use in Spark. When running the {{org.apache.spark.ml.linalg.BLASBenchmark}}benchmarking suite, I get the results at [1] on an Intel machine. Moreover, this library is thoroughly tested to return the exact same results as the reference implementation.

Under the hood, it reimplements the necessary algorithms in pure autovectorization-friendly Java 8, as well as takes advantage of the Vector API and Foreign Linker API introduced in JDK 16 when available.



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