[jira] [Resolved] (SPARK-16574) Distribute computing to each node based on certain hints

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16574.
-------------------------------
    Resolution: Not A Problem

> Distribute computing to each node based on certain hints
> --------------------------------------------------------
>
>                 Key: SPARK-16574
>                 URL: https://issues.apache.org/jira/browse/SPARK-16574
>             Project: Spark
>          Issue Type: Wish
>            Reporter: Norman He
>
> 1) I have gpuWorkers RDD like(each node have 2 gpus)
>     val nodes= 10
>     val gpuCount = 2
>     val cross: Array[(Int, Int)] = for( x <- Array.range(0, nodes);  y <-      Array.range(0, gpuCount ) ) yield (x, y)
>     var gpuWorkers: RDD[(Int, Int)] = sc.parallelize(cross, nodes * gpuCount)
> 2) when executor runs, I would somehow like to distribute code to each nodes based on cross's gpu index(y) so that each machine 2 gpu can be used.



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