Adds functionality to convert container's tile annotation
in to corresponding L0 affinity mask. This helps to target
container's workload to specific L0 subdevices.
Signed-off-by: Tuomas Katila <tuomas.katila@intel.com>
While the labeling limit is obvious after little thought, IMHO
limitations like this should either be stated out front, or be in
their own section in the README. Commit does former for the GPU
plugin fractional resources, and latter for the NFD hook / labeling.
1. Implement PreferredAllocator interface.
2. Provide 3 preferred allocation policies: balancedPolicy, packedPolicy and nonePolicy.
3. Provide the cmdline interface: -allocation-policy balanced/packed/none, to select which preferred allocation policy to use.
4. Add operator support.
Co-authored-by: Mikko Ylinen <mikko.ylinen@intel.com>
Commit 00a59e8f7d was not complete in that it didn't update
the corresponding documentation. This commit fixes that.
Signed-off-by: Mikko Ylinen <mikko.ylinen@intel.com>
- Information on specific HW & virtualization types on which GPU plugin
is tested on, belongs to releases notes, not to README intro
(where it has already became obsolete)
- HW offloading is provided by driver backends, not frontends
(e.g. OneVPL is just one of the media driver frontends)
This adds a section heading, TOC link, command line flag description
and a short explanation of what other dependendent configuration
changes are needed with fractional resources in order for the command
line flag to achieve something useful.
Signed-off-by: Ukri Niemimuukko <ukri.niemimuukko@intel.com>
This adds a link from gpu-plugin README to the nfdhook README, and
updates the nfdhook README with label descriptions.
Signed-off-by: Ukri Niemimuukko <ukri.niemimuukko@intel.com>
Removed device plugin socket check from the documentation as
device plugin support is enabled by default in Kubelet.
Signed-off-by: Ed Bartosh <eduard.bartosh@intel.com>
Move remark about GVT-d to end of introduction. Remove remarks
about GVT-g for the time being.
Signed-off-by: Ukri Niemimuukko <ukri.niemimuukko@intel.com>
go get'ing does not work due to our k8s.io/kubernetes dependency
so guide users to use git clone to get the code.
Fixes: #290
Signed-off-by: Mikko Ylinen <mikko.ylinen@intel.com>
Re-arrange the section order a little (such as putting the use
of the DaemonSet before the sudo hand-deploy), and add a lot more
detail of what to expect, and how to check if the pod has launched
correctly.
Signed-off-by: Graham Whaley <graham.whaley@intel.com>
Fill out the introduction to the GPU README to give some details around
what the plugin supports and how.
Signed-off-by: Graham Whaley <graham.whaley@intel.com>
The default deployment gives rather wide host mounts. We can limit
the mounts only to the subdirectories the plugin needs and mount
them read-only.
Also, add notes that both QAT and GPU plugins can be run as non-root
user.
Fixes: #228
Signed-off-by: Mikko Ylinen <mikko.ylinen@intel.com>
Split into 3 parts:
- main part with high level description of the repository
- Build and test Intel GPU Device Plugin for Kubernetes
- Build and test Intel FPGA Device Plugin for Kubernetes
Added Intel logo to the main README.md
Fixes#2
