AWS ParallelCluster

Python

Quickly build HPC compute environments on AWS

If you need an AWS-compatible cluster management tool, ParallelCluster is the right choice. Based on the open-source CfnCluster project, AWS ParallelCluster allows you to quickly build an HPC compute environment on AWS. It automatically configures the necessary computing resources and the shared file system.

In their official documentation, they explain that AWS ParallelCluster can be used "with batch schedulers, such as AWS Batch and Slurm. AWS ParallelCluster facilitates quick start proof of concept deployments and production deployments."

It also allows the user to create higher-level workflows, such as a genomics portal that automates a complete DNA sequencing workflow, in addition to AWS ParallelCluster.

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How AWS ParallelCluster works

First, it's time to design the cluster based on the demands of your application or project, you can choose pre-established design options.
Once the cluster is configured, you launch it by executing the "create" command
When the cluster reaches "create complete" status, you connect via an SSH client.
Finally, send your work to the organizer.

Why Amazon ECS?

1

SCALED

It allows you to use a simple text file to model, provision, and scale resources for applications in an automated way.

2

MANAGEMENT

With AWS ParallelCluster, you can securely and repeatably provision resources.

3

MIGRATION

AWS ParallelCluster supports a wide variety of operating systems and batch schedulers.