Today, our talk (with my team-mate David Gray) entitled HPC on Openshift Deploying Scientific Workloads on OpenShift with the MPI Operator got presented at the OpenShift Commons workshop of KubeCon/NA conference.
High Performance Computing (HPC) workloads increasingly rely on the use of containers that make applications easier to manage, preserve their dependencies and add portability across different environments. Red Hat OpenShift Container Platform is a Kubernetes-based platform for deploying containerized applications on shared compute resources.
In this talk we will show how to effectively deploy scientific applications, GROMACS and SPECFEM3D Globe, on OpenShift using the MPI Operator from the Kubeflow project using two different distributed shared filesystems, Lustre and CephFS.
We also publish in-depth blog posts on this topic:
- Running HPC workloads with Red Hat OpenShift Using MPI and Lustre Filesystem (David’s work)
- A Complete Guide for Running Specfem Scientific HPC Workload on Red Hat OpenShift (my work)
- Demonstrating Performance Capabilities of Red Hat OpenShift for Running Scientific HPC Workloads (joint work)