AWS HPC Blog

This post was contributed by Orang Vahid (Dir of Engineering Services) and Kayla Rossi (Application Engineer) at Maplesoft, and Ross Pivovar (Solution Architect) and Adam Rasheed (Snr Manager) from Autonomous Computing at AWS One of the most common objectives for our Digital Twin (DT) customers is to use DTs for scenario analysis to assess risk […]

Looking to integrate AWS ParallelCluster into an automated workflow? This post shows how to submit and monitor jobs programmatically with Slurm REST API (code examples included).

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.

In this post, we’ll show you the performance and price curves when Ansys Gateway, powered by AWS runs on different HPC instances – this should help you make the right hardware choices for running Fluent simulations in the cloud.

In this post we’ll show you the performance when running the Parallel Lattice Boltzmann Solver (Palabos) on the latest generation of AWS Graviton CPUs in Hpc7g instances on AWS.

AWS is developing new tools that enable easier and faster deployment of level 3/4 digital twins. This post discusses how a fleet calibrated level 3 digital twin can be cost effectively deployed on AWS Cloud.

In this blog post, we’ll explore how Green Urban Scenarios simulator (GUS) helps urban planners explore the impact of green infrastructure on the urban environment using digital twins and simulations scaled using AWS Batch.

Digital twins can be hard if they deviate from real-world behavior as real systems degrade and change over time. Today we’ll show digital twins that calibrate on operational data, using TwinFlow on AWS.

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.

Today we’ll help you understand agent-based models and their potential to impact the environment and socio-economic systems. We’ll explore a few use cases and show how ABMs can improve our comprehension of environmental and social decision making.