Posted On: Nov 18, 2019

Amazon 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 High Performance Computing (HPC) clusters in the Amazon Web Services cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads.

As part of its new release, Amazon ParallelCluster now includes support for Intel® MPI Library 2019 Update 5.

A number of other significant additions have been made to this latest release of Amazon ParallelCluster, including:

  • Slurm 19: Customers can now use Slurm 19 with native GPU scheduling functionality on GPU-based instances. With this enhancement customers can exercise more fine-grained control over any of their cluster’s jobs that use GPUs.
  • Improved configuration experience: Amazon ParallelCluster’s pcluster configure command has been revamped to streamline cluster setup. Customers can now take advantage of automated networking configuration, reducing the steps required to create their clusters.

Amazon ParallelCluster is available at no additional charge, and you pay only for the Amazon Web Services resources needed to run your applications. Amazon ParallelCluster is released via the Python Package Index (PyPI). Amazon ParallelCluster’s source code is hosted under the Amazon Web Services repository on GitHub at, where you can learn how to launch your own HPC cluster on Amazon Web Services.

For more detail you can find the complete release notes for the latest version of Amazon  ParallelCluster here.