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https://issues.apache.org/jira/browse/SPARK-29151?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16932422#comment-16932422
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Thomas Graves commented on SPARK-29151:
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Depending on when things go in we could do this as part of
https://issues.apache.org/jira/browse/SPARK-27495?filter=-1 so that API doesn't
need to change.
> Support fraction resources for resource scheduling
> --------------------------------------------------
>
> Key: SPARK-29151
> URL: https://issues.apache.org/jira/browse/SPARK-29151
> Project: Spark
> Issue Type: Story
> Components: Scheduler
> Affects Versions: 3.0.0
> Reporter: Thomas Graves
> Priority: Major
>
> The current resource scheduling code for GPU/FPGA, etc only supports amounts
> as integers, so you can only schedule whole resources. There are cases where
> you may want to share the resources and schedule multiple tasks to run on the
> same resources (GPU). It would be nice to support fractional resources.
> Somehow say we want a task to have 1/4 of a GPU for instance. I think we
> only want to support fractional when the resources amount is < 1. Otherwise
> you run into issues where someone asks for 2 1/8 GPU, which doesn't really
> make sense to me and makes assigning addresses very complicated.
> Need to think about implementation details, for instance using a float can be
> troublesome here due to floating point math precision issues.
> Another thing to consider, depending on implementation is limiting the
> precision - go down to tenths, hundreths, thousandths, etc.
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