AWS Compute Blog

Tag: HPC

Figure 5: Resource Automation using Serverless Scheduler - A deeper look A deeper dive in to Part 2, resource allcoation.

Decoupled Serverless Scheduler To Run HPC Applications At Scale on EC2

This post is written by Ludvig Nordstrom and Mark Duffield | on November 27, 2019 In this blog post, we dive in to a cloud native approach for running HPC applications at scale on EC2 Spot Instances, using a decoupled serverless scheduler. This architecture is ideal for many workloads in the HPC and EDA industries, and […]

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Building a tightly coupled molecular dynamics workflow with multi-node parallel jobs in AWS Batch

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services and Aswin Damodar, Senior Software Development Engineer, AWS Batch At Supercomputing 2018 in Dallas, TX, AWS announced AWS Batch support for running tightly coupled workloads in a multi-node parallel jobs environment. This AWS Batch feature enables applications that require strong scaling for efficient computational workloads. Some of […]

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Deploying a Burstable and Event-driven HPC Cluster on AWS Using SLURM, Part 1

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services When you execute high performance computing (HPC) workflows on AWS, you can take advantage of the elasticity and concomitant scale associated with recruiting resources for your computational workloads. AWS offers a variety of services, solutions, and open source tools to deploy, manage, and dynamically destroy compute […]

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Real World AWS Scalability

This is a guest post from Linda Hedges, Principal SA, High Performance Computing. —– One question we often hear is, “How well will my application scale on AWS?” For high performance computing (HPC) workloads that cross multiple nodes, the cluster network is at the heart of scalability concerns. AWS uses advanced Ethernet networking technology, which, […]

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