Tag: Scientific Computing

HPC workloads demonstrate predictable resource patterns that can directly determine optimal cloud instance selection. To save you conducting extensive custom benchmarking, this blog post presents a data-driven methodology for instance selection based on established performance research. In this post, you’ll learn how to use coupling patterns to drive instance selection. We’ll outlines our scientific methodology […]

This post was contributed by U. Deva Priyakumar, Rakesh Srivatsava, Prathit Chatterjee, Vladimir Aladinskiy, Ramanathan Sethuraman, Yusong Wang, Alex Iankoulski, and Beryl Rabindran Today, we’re excited to announce the release of a comprehensive dataset featuring molecular dynamics (MD) trajectories for over 16,000 protein-ligand complexes (PLCs). This dataset, now available on AWS as part of the […]

Today we’re excited to announce expanded support for custom Slurm settings in AWS Parallel Computing Service (PCS). With this launch, PCS now enables you to configure over 65 Slurm parameters. And for the first time, you can also apply custom settings to queue resources, giving you partition-specific control over scheduling behavior. This release responds directly […]

Cyclone chasing just got a whole lot smarter! Check out how DTN’s AI-powered weather model is rewriting the forecast. Brace yourself for the future of weather prediction.

This post was contributed by by Kareem Abdol-Hamid, Kyle Bush Today we’re happy to announce that support for Amazon EC2 Capacity Blocks for Machine Learning are now supported in AWS Parallel Computing Service (AWS PCS). This allows you to reserve and schedule GPU-accelerated Amazon EC2 instances for future use. That includes the NVIDIA Hopper GPU […]

Quantum mechanics meets drug discovery: QSimulate’s latest advancements in QM-based FEP simulation are poised to transform the industry. Our blog post takes you on a journey through the groundbreaking science and innovative software that are redefining the future of drug design.

Exciting updates to AWS Batch on Amazon EKS! Configurable namespaces, persistent volume claims, and more. Check out our blog post to see how these features can help manage your complex containerized workloads.

AWS Parallel Computing Service now supports AWS CloudFormation, enabling you to deploy and scale HPC workloads as code. Check out our open-source HPC Recipes Library for quick cluster deployments.

In the race to deliver precision medicine, time is of the essence. Caris Life Sciences, a pioneer in this field, leveraged AWS Batch to build a highly scalable solution that processed hundreds of thousands of genomic samples in record time. Discover how they achieved this remarkable feat and the key services that powered their breakthrough.

Elevate your engineering capabilities with lightning-fast impact prediction. Our new blog post delves into how advanced ML models, like U-Nets and Fourier Neural Operators, are revolutionizing transient response forecasting for critical industries like consumer electronics, automotive, and aerospace. Gain a competitive edge by integrating these cutting-edge techniques.