Tag: Research Computing

Today we’re showing you our community library of HPC Recipes for AWS. It’s a public repo @github that will help you achieve feature-rich, reliable HPC deployments ready to run your workloads no matter where you’re starting from.

Today we discuss the performance results we saw from the new hpc7a instance, running HPC workloads like CFD, molecular dynamics, and weather prediction codes.

Lawrence Livermore National Laboratory (LLNL) and AWS are again joining forces to provide a training opportunity for emerging HPC tools and application. In this post you’ll find out the details of those tutorials, and find out how to participate.

Today we’re going to show you how you can automate cluster deployment and create self-documenting infrastructure at the same time, which leads to more repeatable results that are easier to manage (and replicate).

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.

Complicated multi-step workflows can be challenging to deploy, especially when using a variety of high-compute resources. Covalent is an open-source orchestration tool that streamlines the deployment of distributed workloads on AWS resources. In this post, we outline key concepts in Covalent and develop a machine learning workflow for AWS Batch in just a handful of steps.

In this blog post, we’ll explore the benefits of computational chemistry for the circular economy, how it can help reduce waste, and describe the potential for new innovative materials.

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.

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.