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https://issues.apache.org/jira/browse/SPARK-29151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Graves updated SPARK-29151:
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Description:
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 for the task
level settings. 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.
was:
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.
> Support fraction resources for task 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 for
> the task level settings. 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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