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https://issues.apache.org/jira/browse/MESOS-5342?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16931509#comment-16931509
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Abel S commented on MESOS-5342:
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Could someone provide updates on this issue/feature?

> CPU pinning/binding support for CgroupsCpushareIsolatorProcess
> --------------------------------------------------------------
>
>                 Key: MESOS-5342
>                 URL: https://issues.apache.org/jira/browse/MESOS-5342
>             Project: Mesos
>          Issue Type: Improvement
>          Components: containerization
>    Affects Versions: 0.28.1
>            Reporter: Chris
>            Priority: Major
>              Labels: cgroups, cpu, cpu-usage, gpu, isolation, isolator, mentor
>
> 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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