AWS HPC Blog

Category: AWS ParallelCluster

New: Introducing AWS ParallelCluster 3

Running HPC workloads, like computational fluid dynamics (CFD), molecular dynamics, or weather forecasting typically involves a lot of moving parts. You need a hundreds or thousands of compute cores, a job scheduler for keeping them fed, a shared file system that’s tuned for throughput or IOPS (or both), loads of libraries, a fast network, and […]

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Supporting climate model simulations to accelerate climate science

The Amazon Sustainability Data Initiative (ASDI), AWS is donating cloud resources, technical support, and access to scalable infrastructure and fast networking providing high performance computing solutions to support simulations of near-term climate using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 2 (CESM2) and its Whole Atmosphere Community Climate Model (WACCM). In collaboration with ASDI, AWS, and SilverLining, a nonprofit dedicated to ensuring a safe climate, the National Center for Atmospheric Research (NCAR) will run an ensemble of 30 climate-model simulations on AWS. The climate runs will simulate the Earth system over the period of years 2022-2070 under a median scenario for warming and make them available through the AWS Open Data Program. The simulation work will demonstrate the ability to use cloud infrastructure to advance climate models in support of robust scientific studies by researchers around the world and aims to accelerate and democratize climate science.

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Building highly-available HPC infrastructure on AWS

In this blog post, we will explain how to launch highly available HPC clusters across an AWS Region. The solution is deployed using the AWS Cloud Developer Kit (AWS CDK), a software development framework for defining cloud infrastructure in code and provisioning it through AWS CloudFormation, hiding the complexity of integration between the components.

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Numerical weather prediction on AWS Graviton2

The Weather Research and Forecasting (WRF) model is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs. With the release of Arm-based AWS Graviton2 Amazon Elastic Compute Cloud (EC2) instances, a common question has been how these instances perform on large-scale NWP workloads. In this blog, we will present results from a standard WRF benchmark simulation and compare across three different instance types.

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GROMACS price-performance optimizations header image

GROMACS price-performance optimizations on AWS

Molecular dynamics (MD) is a simulation method for analyzing the movement and tracing trajectories of atoms and molecules where the dynamics of a system evolve over time. MD simulations are used across various domains such as material sciences, biochemistry, biophysics and are typically used in two broad ways to study a system. The importance of […]

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Running finite element analysis using Simcenter Nastran on AWS

This post was written by Dnyanesh Digraskar, Sr. Partner Solutions Architect for HPC at AWS and co-authored by Wei Zhang and Ravi Gupta, Sr Software Engineers for Simcenter Nastran at Siemens. Introduction In this blog, we demonstrate the deployment, performance, and price comparisons of Simcenter Nastran for three finite element analysis (FEA) based use cases […]

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Simplify HPC cluster usage with AWS Cloud9 and AWS ParallelCluster

This post was written by Benjamin Meyer, AWS Solutions Architect When companies and labs start their high performance computing (HPC) journey in the AWS Cloud, it’s not only because they’re in search of elasticity and scale – they’re also in search of new tools and environments. Initially this can appear challenging as there are many […]

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Welcome to the AWS HPC Blog

This post is written by Deepak Singh, Vice President of Compute Services. At AWS, we love working with customers to solve their toughest challenges. High performance computing (HPC) is one of those challenges that pushes against the boundaries of AWS performance at scale. HPC is also a personal interest of mine, as I came to […]

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