AWS HPC Blog
Tag: CFD
On-demand visual login nodes – using RES with AWS Parallel Computing Service
Running large-scale modeling and simulations just got easier. Check out our new post on integrating AWS Parallel Computing Service with Research and Engineering Studio for individualized access to HPC resources.
A guide to identity management in Research and Engineering Studio on AWS
Check out this new post to learn about identity options for Research and Engineering Studio on AWS. Understanding choices for SAML IdPs and Active Directory will help you plan secure VDI access.
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 […]
You told us we needed to re-think HPC in the cloud. So we did.
AWS Parallel Computing Service reinvented HPC in the cloud. Learn how we combined familiar HPC tools with the flexibility of the cloud. And walk through what it is, and why it matters.
Improve HPC workloads on AWS for environmental sustainability
Need to cut your carbon footprint without sacrificing productivity? Migrating HPC workloads to the cloud allowed Baker Hughes to reduce emissions by 99%! Get tips for optimizing compute, storage, networking so you can do better.
A library of HPC Applications Best Practices on AWS
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.
Call for participation: HPC tutorial series from the HPCIC
Interested in getting hands-on experience with cutting-edge HPC tools? Check out this blog post on an upcoming virtual training series from @LLNL and @AWSCloud. Learn emerging technologies from the experts this August.
Integrating Research and Engineering Studio with AWS ParallelCluster
Researchers, engineers & scientists – learn how to leverage AWS ParallelCluster with Research & Engineering Studio for a full-featured cloud workspace. Read this post for details on this new integration.
Using machine learning to drive faster automotive design cycles
Aerospace and automotive companies are speeding up their product design using AI. In this post we’ll discuss how they’re using machine learning to shift design cycles from hours to seconds using surrogate models.
Optimizing MPI application performance on hpc7a by effectively using both EFA devices
Get the inside scoop on optimizing your MPI apps and configuration for AWS’s powerful new Hpc7a instances. Dual rail gives these instances huge networking potential @ 300 Gb/s – if properly used. This post provides benchmarks, sample configs, and real speedup numbers to help you maximize network performance. Whether you run weather simulations, CFD, or other HPC workloads, you’ll find practical tips for your codes.