Tag: AWS ParallelCluster

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.

In this post, we describe an integration of Open OnDemand with AWS ParallelCluster so admins can provide web-based access to HPC resources beyond what they have at their site, by using the AWS cloud to add new capabilities and extend capacity.

In AWS ParallelCluster 3.4, you can now build HPC clusters that span multiple Amazon EC2 Availability Zones. In this post, we describe how the new feature works, how to use it, and some implications for cluster design that it raises.

With #AWS #ParallelCluster 3.3, you can now easily take advantage of #EC2 On-Demand Capacity Reservations to help ensure your jobs have the capacity they need when they need it. This post describes the new feature and how you can benefit from it.

Since launch, EFA has seen continuous improvements in performance. In this post, we talk about our 2nd generation of EFA, which takes another step in improving Machine Learning and High Performance Computing in the Cloud.