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https://issues.apache.org/jira/browse/YARN-5983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhankun Tang updated YARN-5983:
-------------------------------
    Attachment: YARN-5983_end-to-end_test_report.pdf

Add an end-to-end test report for your reference.

> [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
>         Attachments: YARN-5983-Support-FPGA-resource-on-NM-side_v1.pdf, 
> YARN-5983-implementation-notes.pdf, YARN-5983_end-to-end_test_report.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
> 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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