Tag: Compute

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.

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.

Transforming computer-aided drug design: see how SandboxAQ leverages AWS and generative AI to explore chemical space, more intelligently generating drug candidates.

You can boost the performance of your compute grids by strategically distributing your binaries. Our experts looked at lots of strategies for fast & efficient compute grid operations – to save you some work.

Financial services firms: we stress-tested YellowDog’s HPC environment to see if it could handle a 10m task batch at 3,000 tasks per second. Check out the results.

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.

Struggling with long compute times for numerical simulations in finance? See how AWS makes it simple to leverage the cloud for large-scale financial modeling. We walk through a real example using QuantLib and Monte Carlo methods.

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.

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.

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.