Now that the algorithm for balancing CPU distributions across NUMA nodes is correct, this test actually behaves differently for the "packed" vs. "distributed" allocation algorithms (as it should). In the "packed" case we need to ensure that CPUs are allocated such that they are packed onto cores. Since one CPU is already allocated from a core on NUMA node 0, we want the next CPU to be its hyperthreaded pair (even though the first available CPU id is on Socket 1). In the "distributed" case, however, we want to ensure CPUs are allocated such that we have an balanced distribution of CPUs across all NUMA nodes. This points to allocating from Socket 1 if the only other CPU allocated has been done on Socket 0. To allow CPUs allocations to be packed onto full cores, one can allocate them from the "distributed" algorithm with a 'cpuGroupSize' equal to the number of hypthreads per core (in this case 2). We added an explicit test case for this, demonstrating that we get the same result as the "packed" algorithm does, even though the "distributed" algorithm is in use. Signed-off-by: Kevin Klues <kklues@nvidia.com> |
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SUPPORT.md |
Kubernetes (K8s)

Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.
Kubernetes is hosted by the Cloud Native Computing Foundation (CNCF). If your company wants to help shape the evolution of technologies that are container-packaged, dynamically scheduled, and microservices-oriented, consider joining the CNCF. For details about who's involved and how Kubernetes plays a role, read the CNCF announcement.
To start using K8s
See our documentation on kubernetes.io.
Try our interactive tutorial.
Take a free course on Scalable Microservices with Kubernetes.
To use Kubernetes code as a library in other applications, see the list of published components.
Use of the k8s.io/kubernetes
module or k8s.io/kubernetes/...
packages as libraries is not supported.
To start developing K8s
The community repository hosts all information about building Kubernetes from source, how to contribute code and documentation, who to contact about what, etc.
If you want to build Kubernetes right away there are two options:
You have a working Go environment.
mkdir -p $GOPATH/src/k8s.io
cd $GOPATH/src/k8s.io
git clone https://github.com/kubernetes/kubernetes
cd kubernetes
make
You have a working Docker environment.
git clone https://github.com/kubernetes/kubernetes
cd kubernetes
make quick-release
For the full story, head over to the developer's documentation.
Support
If you need support, start with the troubleshooting guide, and work your way through the process that we've outlined.
That said, if you have questions, reach out to us one way or another.