Tag: HPC

AWS ParallelCluster version 3.2 introduces support for two new Amazon FSx filesystem types (NetApp ONTAP and OpenZFS). It also lifts the limit on the number of filesystem mounts you can have on your cluster. We’ll show you how, and help you with the details for getting this going right away.

AWS ParallelCluster version 3.2 now supports memory-aware scheduling in Slurm to give you control over the placement of jobs with specific memory requirements. In this blog post, we’ll show you how it works, and explain why this will be really useful to people with memory-hungry workloads.

Lawrence Livermore National Laboratory (LLNL) and AWS are joining forces to provide a training opportunity for emerging HPC tools and application. RADIUSS (Rapid Application Development via an Institutional Universal Software Stack) is a broad suite of open-source software projects originating from LLNL. Together we are hosting a tutorial series to give attendees hands-on experience with these cutting-edge technologies. Find out how to participate in these events in this blog post.

In this blog post, we demonstrate how to leverage the AWS Genomics Command line and Amazon SageMaker to analyze large-scale exome sequences and derive meaningful insights. We use the bioinformatics workflow manager Nextflow, it’s open source library of pipelines, NF-Core, and AWS Batch.

In this blog post, we’ll walk you through the process of building a successful Cryo-EM benchmarking pilot using AWS ParallelCluster, Amazon FSx for Lustre, and cryoSPARC (from Structura Biotechnology) and explain some of our design decisions along the way.

In this blog post, we’ll show how you can run NVIDIA Parabricks on AWS Batch leveraging AWS CloudFormation templates. Parabricks is a GPU-accelerated tool for secondary genomic analysis. It reduces the runtime of variant calling on a 30x human genome from 30 hours to just 30 minutes, and leverages AWS Batch to provide an interface that scales compute jobs across multiple instances in the cloud.

Somatic variants are genetic alterations which are not inherited but acquired during one’s lifespan, for example those that are present in cancer tumors. In this post, we will demonstrate how to perform somatic variant calling from matched tumor and normal genome sequence data, as well as tumor-only whole genome and whole exome datasets using an NVIDIA GPU-accelerated Parabricks pipeline, and compare the results with baseline CPU-based workflows.

Organizations such as Amazon Prime Air and Joby Aviation use Simcenter STAR-CCM+ for running CFD simulations on AWS so they can reduce product manufacturing cycles and achieve faster times to market. In this post today, we describe the performance and price analysis of running Computational Fluid Dynamics (CFD) simulations using Siemens SimcenterTM STAR-CCM+TM software on AWS HPC clusters.

The AWS ParallelCluster version 3 CLI differs significantly from ParallelCluster version 2. This post provides some guidance on mapping between versions to help you with migrating to ParallelCluster 3. We also summarize new CLI features in ParallelCluster 3 to expose the things you just couldn’t do previously.

OpenFOAM is one the most widely used Computational Fluid Dynamics (CFD) packages and helps companies in a broad range of sectors (automotive, aerospace, energy, and life-sciences) to conduct research and design new products. In this post, we’ll discuss six practical things you can do as an OpenFOAM user to run your simulations faster and more cost effectively.