Tag: AWS ParallelCluster

Hpc7g is the first Amazon EC2 HPC instance offering with multiple instance sizes, but this is quite different from the experience of getting smaller instances from other non-HPC instance families. Today, we want to take a moment to explore why this is different, and how it helps.

In this post we’ll show you application performance and scaling results from Hpc7g, a new instance powered by AWS Graviton3E across a wide range of HPC workloads and disciplines.

The transition to a sustainable economy is a major goal of many organizations today. HPC plays a pivotal role and in this post we’ll explore how HPC on AWS is enabling the shift towards a sustainable future.

With AWS ParallelCluster 3.6, you can directly specify Slurm settings in the cluster config file – improving reproducibility and another step towards self-documentation for your HPC infrastructure.

In this post, we describe Agent-Based Computational Economics (ACE), and how extreme scale computing makes it beneficial for policy design.

AWS ParallelCluster 3.6.0 can now detect GPU failures in HPC and AI/ML tasks. Health checks run at the start of Slurm jobs and if they fail, the job is requeued on another instance. This can increase reliability and prevent wasted spend.

In this post, we discuss the “tipping point” problem, using HPC at a large scale to simulate the impact of deforestation to the risk of accelerating damage to the Amazon rainforest.

In this blog post we’ll show you how to create an elastic pool of visualization nodes, by combining AWS ParallelCluster with NICE DCV in a novel way.

In this post we show you how to create an HPC cluster and capture the two-minute warning notifications from Amazon EC2 Spot to execute a checkpoint, reactively.

Today, we’re announcing the availability of Spack configs for AWS ParallelCluster. You can use these configurations to install optimized HPC applications quickly and easily on your AWS-powered HPC clusters.