AWS HPC Blog

Tag: Scientific Computing

Recent improvement to Open MPI AllReduce and the impact to application performance

Recent improvement to Open MPI AllReduce and the impact to application performance

Our team engineered some Open MPI optimizations for EFA to enhance performance of HPC codes running in the cloud. By improving MPI_AllReduce they improved scaling – matching commercial MPIs. Tests show gains for apps including Code Saturne and OpenFOAM on both Arm64 and x86 instances. Check out how these tweaks can speed up your HPC workloads in the cloud.

AWS Batch enables near-real-time energy production forecasts using NVIDIA Earth-2

Using AWS Batch and NVIDIA Earth-2, we built a scalable workflow that explores millions of scenarios at a fraction of the cost of traditional methods. This innovative approach not only provides rapid energy calculations, but also shows the potential of AI-driven meteorology.

Securing HPC on AWS – isolated clusters

Securing HPC on AWS – isolated clusters

In this post, we’ll share two ways customers can operate HPC workloads using AWS ParallelCluster while completely isolated from the Internet. ParallelCluster supports many different network configurations to support a range of uses. When referring to isolation we mean situations where your HPC cluster is completely self-contained inside AWS, or where you have a private […]

Jumpstart your HPC journey with the AWS Parallel Computing Service getting started kit

Jumpstart your HPC journey with the AWS Parallel Computing Service getting started kit

If designing next-gen vehicles or chasing cures is part of your job, don’t miss this. We just launched a major new HPC service to help you scale complex workloads rapidly. Get the details on how AWS Parallel Computing Service can speed up your R&D.