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From "Vinod Kumar Vavilapalli (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (YARN-5983) [Umbrella] Support for FPGA as a Resource in YARN
Date Fri, 06 Apr 2018 18:33:09 GMT

     [ https://issues.apache.org/jira/browse/YARN-5983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Vinod Kumar Vavilapalli resolved YARN-5983.
    Resolution: Fixed

> [Umbrella] Support for FPGA as a Resource in YARN
> -------------------------------------------------
>                 Key: YARN-5983
>                 URL: https://issues.apache.org/jira/browse/YARN-5983
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: yarn
>            Reporter: Zhankun Tang
>            Assignee: Zhankun Tang
>            Priority: Major
>             Fix For: 3.1.0
>         Attachments: YARN-5983-Support-FPGA-resource-on-NM-side_v1.pdf, YARN-5983-implementation-notes.pdf,
> As various big data workload running on YARN, CPU will no longer scale eventually and
heterogeneous systems will become more important. ML/DL is a rising star in recent years,
applications focused on these areas have to utilize GPU or FPGA to boost performance. Also,
hardware vendors such as Intel also invest in such hardware. It is most likely that FPGA will
become popular in data centers like CPU in the near future.
> So YARN as a resource managing and scheduling system, would be great to evolve to support
this. This JIRA proposes FPGA to be a first-class citizen. The changes roughly includes:
> 1. FPGA resource detection and heartbeat
> 2. Scheduler changes (YARN-3926 invlolved)
> 3. FPGA related preparation and isolation before launch container
> We know that YARN-3926 is trying to extend current resource model. But still we can leave
some FPGA related discussion here

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