Announcing AWS ParallelCluster to simplify HPC cluster management
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 High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Built as an enhancement to and replacement for the popular open source CfnCluster project, AWS ParallelCluster enables customers to quickly build an HPC cluster on AWS. It automatically sets up the required compute resources and shared file systems and offers a variety of batch scheduler options, including AWS Batch, Sun Grid Engine (SGE), Torque, and Slurm.
AWS ParallelCluster reduces the operational overhead of cluster management and simplifies running HPC workloads on AWS. AWS ParallelCluster facilitates both quick-start proof of concepts (POCs) and production deployments. AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications. AWS ParallelCluster is released via the Python Package Index (PyPI). AWS ParallelCluster’s source code is hosted under the Amazon Web Services repository on GitHub at https://github.com/aws/aws-parallelcluster
Learn how to launch an HPC cluster using AWS ParallelCluster here
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 High Performance Computing (HPC) clusters in the AWS cloud. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Built as an enhancement to and replacement for the popular open source CfnCluster project, AWS ParallelCluster enables customers to quickly build an HPC cluster on AWS. It automatically sets up the required compute resources and shared file systems and offers a variety of batch scheduler options, including AWS Batch, Sun Grid Engine (SGE), Torque, and Slurm.
AWS ParallelCluster reduces the operational overhead of cluster management and simplifies running HPC workloads on AWS. AWS ParallelCluster facilitates both quick-start proof of concepts (POCs) and production deployments. AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications. AWS ParallelCluster is released via the Python Package Index (PyPI). AWS ParallelCluster’s source code is hosted under the Amazon Web Services repository on GitHub at https://github.com/aws/aws-parallelcluster
Learn how to launch an HPC cluster using AWS ParallelCluster here