AWS Compute Blog

Tag: HPC

Best practices to optimize your Amazon EC2 Spot Instances usage

This blog post is written by Pranaya Anshu, EC2 PMM, and Sid Ambatipudi, EC2 Compute GTM Specialist. Amazon EC2 Spot Instances are a powerful tool that thousands of customers use to optimize their compute costs. The National Football League (NFL) is an example of customer using Spot Instances, leveraging 4000 EC2 Spot Instances across more […]

Our guide to AWS Compute at re:Invent 2022

This blog post is written by Shruti Koparkar, Senior Product Marketing Manager, Amazon EC2. AWS re:Invent is the most transformative event in cloud computing and it is starting on November 28, 2022. AWS Compute team has many exciting sessions planned for you covering everything from foundational content, to technology deep dives, customer stories, and even […]

fire simulation picture

Fire Dynamics Simulation CFD workflow using AWS ParallelCluster, Elastic Fabric Adapter, Amazon FSx for Lustre and NICE DCV

This post was written by By Kevin Tuil, AWS HPC consultant  Modeling fires is key for many industries, from the design of new buildings, defining evacuation procedures for trains, planes and ships, and even the spread of wildfires. Modeling these fires is complex. It involves both the need to model the three-dimensional unsteady turbulent flow […]

OpenFOAM on Amazon EC2 C6g Arm-based Graviton2 Instances – up to 37% better price/performance

This post is contributed to by: Neil Ashton (AWS) – Principal CFD Specialist SA, Karthik Raman (AWS) – Senior HPC Specialist SA, Oliver Perks (Arm) – Principal HPC Engineer Over the past 30 years, Computational Fluid Dynamics (CFD) has become a key part of many engineering design processes. From aircraft design to modelling the blood flow […]

Enabling job accounting for HPC with AWS ParallelCluster and Amazon RDS

This post is written by Nicola Venuti, HPC Specialist SA, and contributed to by Rex Chen, Software Development Engineer. Introduction Accounting, reporting, and advanced analytics used for data-driven planning and decision making are key areas of focus for High Performance Computing (HPC) Administrators. In the cloud, these areas are more relevant to the costs of the […]

Running Simcenter STAR-CCM+ on AWS with AWS ParallelCluster, Elastic Fabric Adapter and Amazon FSx for Lustre

Update June 27, 2022: The latest version of the scripts referenced in this blog can be found at https://cfd-on-pcluster.workshop.aws/starccm.html. This post is contributed by Anh Tran – Sr. HPC Specialized Solutions Architect Introduction AWS recently introduced many HPC services that boost the performance and scalability of Computational Fluid Dynamics (CFD) workloads on AWS. These services […]

cost per run vs number of cores

Running ANSYS Fluent on Amazon EC2 C5n with Elastic Fabric Adapter (EFA)

Written by: Nicola Venuti, HPC Specialist Solutions Architect  In July 2019 I published: “Best Practices for Running Ansys Fluent Using AWS ParallelCluster.” The first post demonstrated how to launch ANSYS Fluent on AWS using AWS ParallelCluster. In this blog, I discuss a new AWS service: the Elastic Fabric Adapter (EFA).   I also walk you through an example that […]

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 […]

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 […]