Tag: Finite Element Analysis

Want insights on running HPC codes efficiently on AWS? Our HPC specialists compiled their know-how into a new public GitHub repo. Get best practices, templates, scripts and more to optimize your workloads.

Today we’re announcing Research and Engineering Studio on AWS, a self-service portal to help scientists and engineers access and manage virtual desktops to see their data and run their interactive applications in the cloud.

Today, we’re diving deep into the open-source frameworks that move MPI messages around, and showing you how work we did in the Open MPI and libfabrics community lead to an improvement for EFA users – and everyone else, too.

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.

A major portion of the costs incurred for running Finite Element Analyses (FEA) workloads on AWS comes from the usage of Amazon EC2 instances. Amazon EC2 Spot Instances offer a cost-effective architectural choice, allowing you to take advantage of unused EC2 capacity for up to a 90% discount compared to On-Demand Instance prices. In this post, we describe how you 0can run fault-tolerant FEA workloads on Spot Instances using Ansys LS-DYNA’s checkpointing and auto-restart utility.

This post was written by Dnyanesh Digraskar, Sr. Partner Solutions Architect for HPC at AWS and co-authored by Wei Zhang and Ravi Gupta, Sr Software Engineers for Simcenter Nastran at Siemens. Introduction In this blog, we demonstrate the deployment, performance, and price comparisons of Simcenter Nastran for three finite element analysis (FEA) based use cases […]