Category: AWS ParallelCluster

The Weather Research and Forecasting (WRF) model is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs. With the release of Arm-based AWS Graviton2 Amazon Elastic Compute Cloud (EC2) instances, a common question has been how these instances perform on large-scale NWP workloads. In this blog, we will present results from a standard WRF benchmark simulation and compare across three different instance types.

Molecular dynamics (MD) is a simulation method for analyzing the movement and tracing trajectories of atoms and molecules where the dynamics of a system evolve over time. MD simulations are used across various domains such as material sciences, biochemistry, biophysics and are typically used in two broad ways to study a system. The importance of […]

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 […]

This post was written by Benjamin Meyer, AWS Solutions Architect When companies and labs start their high performance computing (HPC) journey in the AWS Cloud, it’s not only because they’re in search of elasticity and scale – they’re also in search of new tools and environments. Initially this can appear challenging as there are many […]

This post is written by Deepak Singh, Vice President of Compute Services. At AWS, we love working with customers to solve their toughest challenges. High performance computing (HPC) is one of those challenges that pushes against the boundaries of AWS performance at scale. HPC is also a personal interest of mine, as I came to […]