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https://issues.apache.org/jira/browse/MESOS-2262?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15005880#comment-15005880
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haosdent commented on MESOS-2262:
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I think you could use the docker image provided by Nvidia
https://github.com/NVIDIA/nvidia-docker and Marathon constraints operator to
make sure your jobs only run in those machine have GPGPU resource. For more
exactly control for GPGPU resource. So far Mesos don't provide this.
> Adding GPGPU resource into Mesos, so we can know if any GPU/Heterogeneous
> resource are available from slave
> -----------------------------------------------------------------------------------------------------------
>
> Key: MESOS-2262
> URL: https://issues.apache.org/jira/browse/MESOS-2262
> Project: Mesos
> Issue Type: Task
> Components: slave
> Environment: OpenCL support env, such as OS X, Linux, Windows..
> Reporter: chester kuo
> Assignee: chester kuo
> Priority: Minor
>
> Extending Mesos to support Heterogeneous resource such as GPGPU/FPGA..etc as
> computing resources in the data-center, OpenCL will be first target to add
> into Mesos (support by all major GPU vendor) , I will reserve to support
> others such as CUDA in the future.
> In this feature, slave will be supported to do resources discover including
> but not limited to,
> (1) Heterogeneous Computing programming model : "OpenCL". "CUDA", "HSA"
> (2) Computing global memory (MB)
> (3) Computing run time version , such as "1.2" , "2.0"
> (4) Computing compute unit (double)
> (5) Computing device type : GPGPU, CPU, Accelerator device.
> (6) Computing (number of devices): (double)
> The Heterogeneous resource isolation will be supported in the framework
> instead of in the slave devices side, the major reason here is , the
> ecosystem , such as OpenCL operate on top of private device driver own by
> vendors, only runtime library (OpenCL) is user-space application, so its hard
> for us to do like Linux cgroup to have CPU/memory resource isolation. As a
> result we may use run time library to do device isolation and memory
> allocation.
> (PS, if anyone know how to do it for GPGPU driver, please drop me a note)
> Meanwhile, some run-time library (such as OpenCL) support to run on top of
> CPU, so we need to use isolator API to notify this once it allocated.
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