Computational Fluid Dynamics

Computational Fluid Dynamics

Run simulations at scale on AWS
Run simulations at scale on AWS
CFD is the mainstay for engineers to improve product designs and rapidly develop viable prototypes

Computational fluid dynamics (CFD) on AWS allows you to run your simulations faster and run more of them simultaneously with no queues. Customers such as Formula 1, INEOS, Joby Aviation and many more use AWS to accelerate their product design and innovate faster. It’s easy to get started, just follow our workshop for a step by step guide to launch an HPC cluster and start running popular codes like Siemens Simcenter STAR-CCM+, Ansys Fluent, and OpenFOAM.

Formula 1 Redesigns Cars for Closer Racing with AWS HPC

AWS CFD workshops

Learn how you can use some of the most popular CFD codes like Simcenter STAR-CCM+, OpenFOAM, Ansys Fluent on AWS with AWS ParallelCluster. Follow along to the workshops linked below, and use the example submission scripts to get started running your own CFD workloads on AWS. 

INEOS Team UK

INEOS Team UK case study

INEOS team UK was able to process thousands of design simulations for their America’s Cup 4X faster on AWS compared to their on-premises environment.

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Joby Aviation

Amazon Prime Air case study

Joby Aviation was able to reduce CFD simulation run time from what would have taken a week on-premises to 24 hours on AWS.

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Flying Whales

Flying Whales case study

By using Elastic Fabric Adapter and AWS ParallelCluster, FLYING WHALES was able to run CFD simulations to design their 60-ton payload cargo ships up to 15X faster on AWS.

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Formula 1 customer logo
“Formula One is renowned for pushing the limits of efficiency and for this reason we are always exploring ways to optimise our cloud costs. We tried the new Graviton2 based instances as they offer significant opportunity to improve the price performance profile of some of the CFD workloads we currently run on Amazon EC2. Having benchmarked the new Graviton2-based c6g and c6gn instances we have seen the potential to lower costs by up to 40% compared to similar workloads run on c5n instances. Based on these results we plan to include Graviton2-based workflows for a range of our CFD simulations moving forwards.”

Pat Symonds, CTO - Formula 1


How AWS' infrastructure takes your CFD to the next level

The flexibility of the AWS infrastructure means that whatever your CFD workload, from complex fluid flows involving turbulence to acoustics and electromagnetics, there’s an Amazon EC2 instance to suit. Intel Xeon processor-based instances such as C5n with Elastic Fabric Adaptor (EFA) ensure that up to 100 Gbps of bandwidth is made available for complex simulations. Flexible configuration and virtually unlimited scalability enable you to grow and shrink your infrastructure as your CFD workloads demand.

Enhancing CFD with Elastic Fabric Adapter

Elastic Fabric Adapter (EFA) is a network interface that relies on a custom-built OS-bypass technique to speed up communication between compute instances. It enables customers to scale their applications to tens of thousands of CPU cores. Advances in CFD algorithms enable engineers to simulate increasingly complex flows, and HPC helps reduce turn-around times. With EFA, design engineers can now scale out their simulation jobs to experiment with more tuneable parameters, leading to faster, more accurate results.

Find out more about EFA at
https://aws.amazon.com/hpc/efa/

How AWS' infrastructure takes your CFD to the next level

The flexibility of the AWS infrastructure means that whatever your CFD workload, from complex fluid flows involving turbulence to acoustics and electromagnetics, there’s an Amazon EC2 instance to suit. Intel Xeon processor-based instances such as C5n with Elastic Fabric Adaptor (EFA) ensure that up to 100 Gbps of bandwidth is made available for complex simulations. Flexible configuration and virtually unlimited scalability enable you to grow and shrink your infrastructure as your CFD workloads demand.

Enhancing CFD with Elastic Fabric Adapter

Elastic Fabric Adapter (EFA) is a network interface that relies on a custom-built OS-bypass technique to speed up communication between compute instances. It enables customers to scale their applications to tens of thousands of CPU cores. Advances in CFD algorithms enable engineers to simulate increasingly complex flows, and HPC helps reduce turn-around times. With EFA, design engineers can now scale out their simulation jobs to experiment with more tuneable parameters, leading to faster, more accurate results.

Find out more about EFA at
https://aws.amazon.com/hpc/efa/

Additional resources

CFD on AWS's Graviton (Arm-based) CPU: Early results (23:35)
Computational Fluid Dynamics for motorsports on AWS (58:23)
Rob Smedley from Formula 1 talks about using AWS to improve the fan experience (10:22)
WHITEPAPER
CFD on AWS whitepaper
Computational Fluid Dynamics on AWS

Learn about the best practices for running computational fluid dynamics workloads on AWS. Use this document to learn more about AWS services and the related quick start tools that simplify getting started with running CFD simulations on AWS.

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Infographic
Five reasons to run your CAE workloads on AWS infographic
Five reasons to run your CAE workloads on AWS

Leaders in innovative product design choose AWS, get the facts from this infographic. See how you can transform your design efforts with the most comprehensive set of cloud solutions available today, while leveraging the highest level of security.

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BLOG
OpenFOAM on Amazon EC2 C6g Arm-based Graviton2 Instances blog
OpenFOAM on Amazon EC2 C6g Arm-based Graviton2 Instances

AWS Graviton2 processors are custom built by AWS using the 64-bit Arm Neoverse cores to deliver great price performance. In this blog, learn how you can achieve up to 37% better price performance running OpenFOAM on Amazon EC2 C6g.

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