[ 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