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https://issues.apache.org/jira/browse/FLINK-8431?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16343523#comment-16343523
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ASF GitHub Bot commented on FLINK-8431:
---------------------------------------
Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/5307#discussion_r164469976
--- Diff:
flink-mesos/src/main/java/org/apache/flink/mesos/runtime/clusterframework/MesosTaskManagerParameters.java
---
@@ -238,6 +254,12 @@ public static MesosTaskManagerParameters
create(Configuration flinkConfig) {
cpus = Math.max(containeredParameters.numSlots(), 1.0);
}
+ double gpus =
Math.floor(flinkConfig.getDouble(MESOS_RM_TASKS_GPUS, 0.0));
--- End diff --
Are we rounding down because GPUs, cannot be shared? If this is the case,
why don't we restrict the Flink configuration value to be an integer?
> Allow to specify # GPUs for TaskManager in Mesos
> ------------------------------------------------
>
> Key: FLINK-8431
> URL: https://issues.apache.org/jira/browse/FLINK-8431
> Project: Flink
> Issue Type: Improvement
> Components: Cluster Management, Mesos
> Reporter: Dongwon Kim
> Assignee: Dongwon Kim
> Priority: Minor
>
> Mesos provides first-class support for Nvidia GPUs [1], but Flink does not
> exploit it when scheduling TaskManagers. If Mesos agents are configured to
> isolate GPUs as shown in [2], TaskManagers that do not specify to use GPUs
> cannot see GPUs at all.
> We, therefore, need to introduce a new configuration property named
> "mesos.resourcemanager.tasks.gpus" to allow users to specify # of GPUs for
> each TaskManager process in Mesos.
> [1] http://mesos.apache.org/documentation/latest/gpu-support/
> [2] http://mesos.apache.org/documentation/latest/gpu-support/#agent-flags
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