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I go into more detail of how to take advantage of this at the end of the blog. Additionally, the latest version also includes a new backup feature that allows you to back up your files to an S3 bucket. This API also includes POSIX support, which allows files to mount with the same user id. This blog post uses the latest version of Amazon FSx for Lustre which recently added a new API for moving data in and out of Amazon S3. This speed and low-latency unleashes innovation at an unparalleled pace.

Additionally, you can read and write data at speeds of up to hundreds of gigabytes per second of throughput, and millions of IOPS. For example, you can launch and run a file system that provides low latency access to your data. Amazon FSx for Lustre allows users to access and alter data from either Amazon S3 or on-premises seamlessly and exceptionally fast. This is a fully managed, high-performance file system, optimized for fast processing workloads, like HPC. In December 2018, AWS released Amazon FSx for Lustre. Let’s dig into each of these services before reviewing the solution. This blog primarily uses three services – Amazon FSx for Lustre, EFA, and AWS ParallelCluster. The CFD application that you will set up during this blog post is Simcenter STAR-CCM+ – the predominant CFD application from Siemens. Additionally, I outline an example of using AWS ParallelCluster to set up an HPC system with EFA and Amazon FSx Lustre to run a CFD workload. In this technical post, I walk through these three services. These services include: Amazon FSx for Lustre, Elastic Fabric Adapter (EFA), and AWS ParallelCluster 2.5.1. HPC Specialized Solutions Architect IntroductionĪWS recently introduced many HPC services that boost the performance and scalability of Computational Fluid Dynamics (CFD) workloads on AWS. This post is contributed by Anh Tran – Sr.
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Update June 27, 2022: The latest version of the scripts referenced in this blog can be found at.
