Benjamin Mahler created MESOS-4424:
--------------------------------------
Summary: Initial support for GPU resources.
Key: MESOS-4424
URL: https://issues.apache.org/jira/browse/MESOS-4424
Project: Mesos
Issue Type: Epic
Components: isolation
Reporter: Benjamin Mahler
Mesos already has generic mechanisms for expressing / isolating resources, and
we'd like to expose GPUs as resources that can be consumed and isolated.
However, GPUs present unique challenges:
* Users may rely on vendor-specific libraries to interact with the device (e.g.
CUDA, HSA, etc), others may rely on portable libraries like OpenCL or OpenGL.
These libraries need to be available from within the container.
* GPU hardware has many attributes that may impose scheduling constraints (e.g.
core count, total memory, topology (via PCI-E, NVLINK, etc), driver versions,
etc).
* Obtaining utilization information requires vendor-specific approaches.
* Isolated sharing of a GPU device requires vendor-specific approaches.
As such, the focus is on supporting a narrow initial use case: homogenous
device-level GPU support:
* Fractional sharing of GPU devices across containers will not be supported
initially, unlike CPU cores.
* Heterogeneity will be supported via other means for now (e.g. using agent
attributes to differentiate hardware profiles, using portable libraries like
OpenCL, etc).
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
