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https://issues.apache.org/jira/browse/SPARK-3785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14341974#comment-14341974
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Tycho Grouwstra edited comment on SPARK-3785 at 3/1/15 6:32 AM:
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I was wondering, it seems
[ArrayFire|http://www.arrayfire.com/docs/group__arrayfire__func.htm] already
parallelized a number of mathematical/reductor functions for C(++) arrays. If
Spark RDDS/DataFrames expose some array interface for columns, might it be
possible to use those through JNI? Not sure there'd be tangible performance
gains without using APUs, but seemed interesting to me.
was (Author: tycho01):
Hm, tried commenting a bit earlier but seems it failed.
I was wondering, it seems
[ArrayFire](http://www.arrayfire.com/docs/group__arrayfire__func.htm) already
parallelized a number of mathematical/reductor functions for C(++) arrays. If
Spark RDDS/DataFrames expose some array interface for columns, might it be
possible to use those through JNI? Not sure there'd be tangible performance
gains without using APUs, but seemed interesting to me.
> 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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