AWS HPC Blog
Call for participation: RADIUSS Tutorial Series 2023
Lawrence Livermore National Laboratory (LLNL) and AWS are again joining forces to provide a training opportunity for emerging HPC tools and application. In this post you’ll find out the details of those tutorials, and find out how to participate.
Deploying and running HPC applications on AWS Batch
In this post AWS Professional Services describes how they recommend using AWS Batch and Amazon Elastic Container Service (Amazon ECS) managed services for running HPC applications like GROMACS and RELION.
High performance actuarial reserve modeling using AWS Batch
In this blog post, we’ll discuss how to use AWS Batch to improve actuarial modeling workloads which are important in the insurance industry, used for analyzing and predicting risks and potential losses.
Automate your clusters by creating self-documenting HPC with AWS ParallelCluster
Today we’re going to show you how you can automate cluster deployment and create self-documenting infrastructure at the same time, which leads to more repeatable results that are easier to manage (and replicate).
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.
Instance sizes in the Amazon EC2 Hpc7 family – a different experience
Hpc7g is the first Amazon EC2 HPC instance offering with multiple instance sizes, but this is quite different from the experience of getting smaller instances from other non-HPC instance families. Today, we want to take a moment to explore why this is different, and how it helps.
Application deep-dive into the AWS Graviton3E-based Amazon EC2 Hpc7g instance
In this post we’ll show you application performance and scaling results from Hpc7g, a new instance powered by AWS Graviton3E across a wide range of HPC workloads and disciplines.
Accelerating the shift towards a sustainable economy using HPC on AWS
The transition to a sustainable economy is a major goal of many organizations today. HPC plays a pivotal role and in this post we’ll explore how HPC on AWS is enabling the shift towards a sustainable future.
How SeatGeek simulates massive load with AWS Batch to prepare for big events
In this post we explore SeatGeek’s load testing system that simulates 50k simultaneous users. Originally built to prep SeatGeek for large-event traffic spikes, it now runs weekly to help them harden their code.
Customize Slurm settings with AWS ParallelCluster 3.6
With AWS ParallelCluster 3.6, you can directly specify Slurm settings in the cluster config file – improving reproducibility and another step towards self-documentation for your HPC infrastructure.