Posted On: Apr 18, 2019

Customers using AWS ParallelCluster to set up their High Performance Computing (HPC) clusters can now take advantage of an optimized scaling algorithm designed for use with Slurm Workload Manager. Other enhancements in the new release of AWS ParallelCluster release include features to prevent cluster scale-up when job dependencies are not satisfied, and support for the latest version of Slurm Workload Manager (v18). The complete list of enhancement in AWS ParallelCluster 2.3.1 can be found here.

HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage HPC clusters on AWS. AWS ParallelCluster reduces the operational overhead of cluster management and simplifies running HPC workloads on AWS. AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications. Slurm is a free and open-source job scheduler for Linux and Unix-like kernels used by many of the world's supercomputers and HPC clusters. Learn how to launch an HPC cluster using AWS ParallelCluster here.