In this talk, we will detail the use of Kubernetes operators to run HPC applications using Charm++ runtime system on Kubernetes cluster on cloud. Charm++ is an adaptive intelligent runtime system that provides capabilities such as dynamic load balancing, energy optimizations, and communication optimizations, in addition to support for resource elasticity. It is a well-established system in the HPC world, and supports highly scalable applications such as NAMD for biomolecular simulations. We will talk about capabilities added to the setup like job malleability utilizing the shrink and expand feature in Charm++ jobs and by changing the number of pods assigned to a job at run-time. We will demonstrate effectiveness of shrink/expand operations for different scheduling policies and quantify the associated overhead. Charm++ has recently added support for python-based framework, Charm4py, for python codes for HPC. We will also talk about running Charm4Py applications on Kubernetes.
