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https://issues.apache.org/jira/browse/SPARK-3785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14160139#comment-14160139
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Sean Owen commented on SPARK-3785:
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In broad terms, I find there are few computations that a GPU can speed up, just
because of the overhead of getting data from the JVM into the GPU and back. It
makes sense for large computations where the computation is disproportionately
large compared to the data (like maybe solving a big linear system, etc.) They
exist but are rare.
Is there something specific to Spark here? you can use any JVM-based library
you like to do what you like in a Spark program.
> Support off-loading computations to a GPU
> -----------------------------------------
>
> Key: SPARK-3785
> URL: https://issues.apache.org/jira/browse/SPARK-3785
> Project: Spark
> Issue Type: Brainstorming
> Components: MLlib
> Reporter: Thomas Darimont
> Priority: Minor
>
> Are there any plans to adding support for off-loading computations to the
> GPU, e.g. via an open-cl binding?
> http://www.jocl.org/
> https://code.google.com/p/javacl/
> http://lwjgl.org/wiki/index.php?title=OpenCL_in_LWJGL
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