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https://issues.apache.org/jira/browse/YARN-9473?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16823934#comment-16823934
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Hudson commented on YARN-9473:
------------------------------
SUCCESS: Integrated in Jenkins build Hadoop-trunk-Commit #16452 (See
[https://builds.apache.org/job/Hadoop-trunk-Commit/16452/])
YARN-9475. [YARN-9473] Create basic VE plugin. Contributed by Peter (ztang: rev
8a95ea61e12384389f2103df0fcba594469cc024)
* (add)
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/com/nec/package-info.java
* (add)
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/com/nec/NECVEPlugin.java
> [Umbrella] Support Vector Engine ( a new accelerator hardware) based on
> pluggable device framework
> --------------------------------------------------------------------------------------------------
>
> Key: YARN-9473
> URL: https://issues.apache.org/jira/browse/YARN-9473
> Project: Hadoop YARN
> Issue Type: New Feature
> Reporter: Zhankun Tang
> Priority: Major
>
> As the heterogeneous computation trend rises, new acceleration hardware like
> GPU, FPGA is used to satisfy various requirements.
> And a new hardware Vector Engine (VE) which released by NEC company is
> another example. The VE is like GPU but has different characteristics. It's
> suitable for machine learning and HPC due to better memory bandwidth and no
> PCIe bottleneck.
> Please Check here for more VE details:
> [https://www.nextplatform.com/2017/11/22/deep-dive-necs-aurora-vector-engine/]
> [https://www.hotchips.org/hc30/2conf/2.14_NEC_vector_NEC_SXAurora_TSUBASA_HotChips30_finalb.pdf]
> As we know, YARN-8851 is a pluggable device framework which provides an easy
> way to develop a plugin for such new accelerators. This JIRA proposes to
> develop a new VE plugin based on that framework and be implemented as current
> GPU's "NvidiaGPUPluginForRuntimeV2" plugin.
>
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