AWS HPC Blog
Tag: Research Computing
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.
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.
How to improve reservoir simulation throughput using P5 instances
Reservoir simulation is critical for energy companies, but running scenarios can be time consuming. Find out how you can improve your SLB INTERSECT simulations by 10x with AWS.
Large scale, cost effective GROMACS simulations using the Cyclone Solution from AWS
Proteins hold the secrets of life, if only we can study them in sufficient detail. Learn how a team at Max Planck leveraged AWS Spot Instances with Cyclone to run massive GROMACS simulations and push the boundaries of biophysics.
HPC Ops: DevOps for HPC workloads in the cloud
Interested in boosting productivity for HPC users and admins? Read this post to learn how HPC Ops (infrastructure as code + CI/CD) delivers faster, more consistent infrastructure deployments and pain free experiences for your users.
Guided multi-objective generative AI for drug design
Transforming computer-aided drug design: see how SandboxAQ leverages AWS and generative AI to explore chemical space, more intelligently generating drug candidates.
Implementing e-mail and SMS notifications in AWS ParallelCluster with Slurm
Learn how to configure email and SMS alerts for job events to stay on top of your HPC workloads with AWS ParallelCluster using Slurm.
Gang scheduling pods on Amazon EKS using AWS Batch multi-node processing jobs
AWS Batch multi-node parallel jobs can now run on Amazon EKS to provide gang scheduling of pods across nodes for large scale distributed computing like ML model training. More details here.
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.
Job queue snapshots: see what’s at the head of your queues in AWS Batch
AWS Batch just grew a neat new feature: Job queue snapshots. This gives you the visibility you need for managing throughput in a dynamic environment – with competing priorities – and across multiple queues and workloads. Today we give you the inside scoop on how this feature works – especially when you’re using fair share scheduling.