Case Study

Achieved a 40% Reduction in Processing Time by Integrating High-Performance Computing Technologies

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Industry 

Software Development

Expertise 

Amazon S3, AWS Lambda, Amazon Route53, Amazon EFS, AWS CodeCommit

Offerings/solutions 

Improved application performance and scalability with advanced cloud computing and resource optimization.

About the Client

Simulation & Innovation (S & I) Engineering Solutions, founded in 2006 at IISc Bangalore, specializes in Computational Fluid Dynamics (CFD). They developed HiFUN, an HPC-friendly CFD software for simulating airflow over various configurations, including aircraft, automobiles, and buildings. S & I also excel in multi-body dynamics analysis and aerospace configuration optimization, using both low-fidelity and high-fidelity CFD tools.

Highlights

40%

Reduction in Processing Time

Optimized Compute Resources

Leveraging AWS ParallelClusters

Seamless Cloud Transition

Handle larger workloads

The Challenge

S & I Engineering Solutions’ HiFUN, a Computational Fluid Dynamics (CFD) software, is currently restricted to Linux desktops and relies heavily on local compute and memory resources. This limitation slows down large simulations, especially MESH files, leading to the need for a cloud-based version to complement the desktop application.

Solutions

• Deployed EC2 with AWS ParallelCluster for consistent, scalable cluster setups.
• Automated workflow with Lambda and Step Functions for ParallelCluster creation, HiFUN installation, and server detail notifications.
• Activated HiFUN via S3-uploaded file and processed mesh files on the cluster, with results stored in S3.
• Users submitted jobs through the frontend; ParallelCluster handled compute provisioning, job execution, and output file generation.

The Results

Reduced processing time by 40% with HPC and AWS ParallelClusters, improving application performance and scalability.

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