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From "Chris (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MESOS-5342) CPU pinning/binding support for CgroupsCpushareIsolatorProcess
Date Mon, 09 May 2016 15:41:13 GMT

    [ https://issues.apache.org/jira/browse/MESOS-5342?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15276521#comment-15276521
] 

Chris commented on MESOS-5342:
------------------------------

For information about submodular functions (and why it was selected for this problem), strongly
suggest reviewing at least this youtube lecture/video (ideally the entire series of videos)
publicly available from MLSS Iceland 2014: https://youtu.be/6ThMzlHdKsI


> CPU pinning/binding support for CgroupsCpushareIsolatorProcess
> --------------------------------------------------------------
>
>                 Key: MESOS-5342
>                 URL: https://issues.apache.org/jira/browse/MESOS-5342
>             Project: Mesos
>          Issue Type: Improvement
>          Components: cgroups, containerization
>    Affects Versions: 0.28.1
>            Reporter: Chris
>
> The cgroups isolator currently lacks support for binding (also called pinning) containers
to a set of cores. The GNU/Linux kernel is known to make sub-optimal core assignments for
processes and threads. Poor assignments impact program performance, specifically in terms
of cache locality. Applications requiring GPU resources can benefit from this feature by getting
access to cores closest to the GPU hardware, which reduces cpu-gpu copy latency.
> Most cluster management systems from the HPC community (SLURM) provide both cgroup isolation
and cpu binding. This feature would provide similar capabilities. The current interest in
supporting Intel's Cache Allocation Technology, and the advent of Intel's Knights-series processors,
will require making choices about where container's are going to run on the mesos-agent's
processor(s) cores - this feature is a step toward developing a robust solution.
> The improvement in this JIRA ticket will handle hardware topology detection, track container-to-core
utilization in a histogram, and use a mathematical optimization technique to select cores
for container assignment based on latency and the container-to-core utilization histogram.
> For GPU tasks, the improvement will prioritize selection of cores based on latency between
the GPU and cores in an effort to minimize copy latency.



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