AWS HPC Blog
Tag: Scientific Computing
Advancing research in the cloud: AWS announces expanded training resources
AWS is investing in researcher training with new learning plans for HPC, quantum, stats, AI/ML & generative AI. Check out the details!
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.
Building a secure and compliant HPC environment on AWS following NIST SP 800-223
Check out our latest blog post to learn how AWS enables building secure, compliant high performance computing (HPC) environments aligned with NIST SP 800-223 guidelines. We walk through the key components, security considerations, and steps for deploying a zone-based HPC architecture on AWS.
Migration options for NICE EnginFrame Views customers
EnginFrame Views users: check out this post on migration options to maintain secure remote access to your HPC environment. As AWS sunsets NICE EnginFrame, alternatives built on Amazon DCV can provide a seamless transition.
Designing better catalysts with HPC – DIC, SandboxAQ, and AWS collaborate for record quantum chemistry computation
Catalyst design is challenging, but could computational methods help? A new post from our blog explores how DIC, SandboxAQ & AWS are teaming up to model organometallic compounds to improve industrial catalysis.
Use Terraform to deploy a complete AWS Batch environment on Amazon EKS
Harness the power of AWS Batch on Amazon EKS with this new Terraform blueprint. It provides a complete template to create robust batch processing in the cloud. An easy button you shouldn’t miss.
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.
Customizing your HPC environment: building AMIs for AWS Parallel Computing Service
Don’t settle for one-size-fits-all HPC. Unlock the power of custom AMIs in AWS Parallel Computing Service. Discover why tailored images are crucial for security, performance, and your workflows
Recent improvement to Open MPI AllReduce and the impact to application performance
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.
Near-real-time energy production forecasts with NVIDIA Earth-2 and AWS Batch
Using AWS Batch and NVIDIA Earth-2, we built a scalable workflow that explores millions of scenarios at a fraction of the cost of traditional methods. This innovative approach not only provides rapid energy calculations, but also shows the potential of AI-driven meteorology.