AWS HPC Blog
Tag: HPC
Dynamic HPC budget control using a core-limit approach with AWS ParallelCluster
Balancing fixed budgets with fluctuating HPC needs is challenging. Discover a customizable solution for automatically setting weekly resource limits based on previous spending.
Leveraging Seqera Platform on AWS Batch for machine learning workflows – Part 2 of 2
In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines.
Save up to 90% using EC2 Spot, even for long-running HPC jobs
New OS-level checkpointing tools can let you run existing HPC codes on EC2 Spot instances with minimal impact from interruptions. Read on for the details.
Enhancing ML workflows with AWS ParallelCluster and Amazon EC2 Capacity Blocks for ML
No more guessing if GPU capacity will be available when you launch ML jobs! EC2 Capacity Blocks for ML let you lock in GPU reservations so you can start tasks on time. Learn how to integrate Caacity Blocks into AWS ParallelCluster to optimize your workflow in our latest technical blog post.
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.
Using a Level 4 Digital Twin for scenario analysis and risk assessment of manufacturing production on AWS
This post was contributed by Orang Vahid (Dir of Engineering Services) and Kayla Rossi (Application Engineer) at Maplesoft, and Ross Pivovar (Solution Architect) and Adam Rasheed (Snr Manager) from Autonomous Computing at AWS One of the most common objectives for our Digital Twin (DT) customers is to use DTs for scenario analysis to assess risk […]
Slurm REST API in AWS ParallelCluster
Looking to integrate AWS ParallelCluster into an automated workflow? This post shows how to submit and monitor jobs programmatically with Slurm REST API (code examples included).
New: Research and Engineering Studio on AWS
Today we’re announcing Research and Engineering Studio on AWS, a self-service portal to help scientists and engineers access and manage virtual desktops to see their data and run their interactive applications in the cloud.
Deep-dive into Ansys Fluent performance on Ansys Gateway powered by AWS
In this post, we’ll show you the performance and price curves when Ansys Gateway, powered by AWS runs on different HPC instances – this should help you make the right hardware choices for running Fluent simulations in the cloud.
Accelerating green-urban planning simulations with AWS Batch
In this blog post, we’ll explore how Green Urban Scenarios simulator (GUS) helps urban planners explore the impact of green infrastructure on the urban environment using digital twins and simulations scaled using AWS Batch.