Tag: HPC

This post was contributed by Ross Pivovar, Rafał Ołdziejewski, Cindy Xin Qi Lee Offshore wind farms play a critical role in the global transition to renewable energy and clean power generation. But generating electricity is only half the battle—safely and efficiently transporting that power to the grid through undersea cables is equally important. Today, we’ll […]

It’s been a busy month in the world of HPC on AWS: we’ve seen new data sets, refinements to cluster operations, and deeper thinking about how workloads map to infrastructure. For our customers driving R&D with HPC, those changes matter (and yes, the nerd in me is quietly excited). In today’s post, we’ll tell you […]

It’s been a year since we announced AWS Parallel Computing Service (PCS). In a way this is the third generation of Slurm-based HPC orchestrators that we’ve brought to you. We’ve learned much from helping customers deploy serious production workloads on AWS ParallelCluster, which itself grew from the foundations layed by CfnCluster – the open-source project […]

HPC workloads demonstrate predictable resource patterns that can directly determine optimal cloud instance selection. To save you conducting extensive custom benchmarking, this blog post presents a data-driven methodology for instance selection based on established performance research. In this post, you’ll learn how to use coupling patterns to drive instance selection. We’ll outlines our scientific methodology […]

This post was contributed by U. Deva Priyakumar, Rakesh Srivatsava, Prathit Chatterjee, Vladimir Aladinskiy, Ramanathan Sethuraman, Yusong Wang, Alex Iankoulski, and Beryl Rabindran Today, we’re excited to announce the release of a comprehensive dataset featuring molecular dynamics (MD) trajectories for over 16,000 protein-ligand complexes (PLCs). This dataset, now available on AWS as part of the […]

This post was contributed by by Kareem Abdol-Hamid, Kyle Bush Today we’re happy to announce that support for Amazon EC2 Capacity Blocks for Machine Learning are now supported in AWS Parallel Computing Service (AWS PCS). This allows you to reserve and schedule GPU-accelerated Amazon EC2 instances for future use. That includes the NVIDIA Hopper GPU […]

AWS Parallel Computing Service (AWS PCS) now supports accounting, a Slurm feature that enables you to monitor resource utilization, enforce resource limits, and manage access-control to specific capacity across users and projects in a cluster. AWS PCS manages the accounting database for the cluster, so that you don’t have to setup and manage a separate accounting database. In this post, we’ll show you how this works, and point you to some actual use cases you can try yourself.

This blog post will explore the technical attributes of computationally demanding high performance computing (HPC) workloads within the financial services sector. By examining the key characteristics of your workloads, we will guide you through a decision tree approach to help determine the most suitable HPC platform for the cloud – whether it be a commercial vendor solution, open-source option, or a fully cloud-native implementation.

Running High Performance Computing workloads in AWS offers immense scale and flexibility, but many on-premises approaches to cost management don’t apply in the cloud. In this post we explore the key levers to reducing unit costs, understanding consumption, and how efficiency and effectiveness are key measures of success.

Struggling with bottlenecks in your batch processing? AWS Batch’s new resource aware scheduling capability could be the solution your business needs. This feature allows you to define and manage consumable resources, helping maximize the use of your compute power. Check out our blog to learn more.