Category: AWS ParallelCluster

Subsurface infrastructure mapping is crucial for industries ranging from oil and gas to environmental protection. Our groundbreaking approach combines advanced magnetic imaging with physics-informed AI to provide unparalleled visibility into hidden structures, even when traditional methods fall short. Explore how this fusion of cloud computing and AI is opening new possibilities for subsurface exploration and management.

Ansys Gateway powered by AWS now has an integration with AWS ParallelCluster to enable users deploy on-demand HPC clusters for running Ansys simulations on AWS. This allows engineers to run large-scale simulations efficiently while optimizing cloud costs by dynamically adjusting resources based on simulation workload requirements. In this blog post, we describe the architecture, workflow, and Amazon EC2 recommendations for running Ansys applications in Ansys Gateway.

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.

AWS is investing in researcher training with new learning plans for HPC, quantum, stats, AI/ML & generative AI. Check out the details!

Managing extensive HPC workflows? This post details how to monitor resource consumption without compromising security. Check it out for a customizable reference architecture that sends only relevant data to your monitoring account.

How might AI change the rules of the energy game? A new post explores using large language models to power smarter, more adaptive agents in an energy supply chain simulation. Learn how LLMs could enable more nuanced decision-making behaviors.

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.

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.

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 […]

Check out this post to learn how Lightmatter leveraged AWS tools like Research and Engineering Studio (RES) and AWS ParallelCluster to meet demanding computational requirements for electronic design.