[
https://issues.apache.org/jira/browse/YARN-9473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Peter Bacsko resolved YARN-9473.
--------------------------------
Resolution: Fixed
Fix Version/s: 3.3.0
> [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
> Components: nodemanager
> Reporter: Zhankun Tang
> Assignee: Peter Bacsko
> Priority: Major
> Fix For: 3.3.0
>
>
> 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.
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-dev-unsubscr...@hadoop.apache.org
For additional commands, e-mail: yarn-dev-h...@hadoop.apache.org
