AWS HPC Blog
Category: Industries
Announcing: Seqera Containers for the bioinformatics community
Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.
Linter rules for Nextflow to improve the detection of errors before runtime
Check out this post to learn how linter rules for Nextflow’s DSL can help you catch errors in your workflows before runtime, which means greater developer productivity, which leads directly to a faster time to science.
Intel Open Omics Acceleration Framework on AWS: fast, cost-efficient, and seamless
With genomics and multi-omics research generating more data than ever, the Open Omics Acceleration Framework from Intel Labs aims to provide a highly productive platform for researchers. Check out recent results in this new blog post.
Accelerating agent-based simulation for autonomous driving
AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge.
Accelerating molecule discovery with computational chemistry and Promethium on AWS
Interested in performing high-accuracy computational chemistry simulations faster? Check out this new post about Promethium, a solution from QC Ware that leverages AWS to accelerate simulations by up to 100x.
Create a Slurm cluster for semiconductor design with AWS ParallelCluster
If you work in the semiconductor industry with electronic design automation tools and workflows, this guide will help you build an HPC cluster on AWS specifically configured for your needs. It covers AWS ParallelCluster and customizations specifically to cater to EDA.
Real-time quant trading on AWS
In this post, we’ll show you an open-source solution for a real-time quant trading system that you can deploy on AWS. We’ll go over the challenges brought on by monitoring portfolios, the solution, and its components. We’ll finish with the installation and configuration process and show you how to use it.
Running protein structure prediction at scale using a web interface for researchers
Today, we’ll show you our open-source sample implementation of a web frontend and cloud HPC backend to support researchers using AI tools like AlphaFold for drug discovery and design.
HTC-Grid – examining the operational characteristics of the high throughput compute grid blueprint
The HTC-Grid blueprint meets the challenges that financial services industry (FSI) organizations for high throughput computing on AWS. This post goes into detail on the operational characteristics (latency, throughput, and scalability) of HTC-Grid to help you to understand if this solution meets your needs.
Deploying predictive models and simulations at scale using TwinFlow on AWS
AWS TwinFlow is an open source framework to build and deploy predictive models using heterogenous compute pipelines on AWS. In this post, we show the versatility of the framework with examples of engineering design, scenario analysis, systems analysis, and digital twins.