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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