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Case Study


Containerizing Engineering Simulation for Faster CFD at Trek Bicycle

For a mid-sized company not wanting to hire HPC cluster administrators and deal with management of infrastructure, the emerging cloud and HPC on demand providers posed an interesting opportunity.

Executive Summary


One of the world's leading manufacturers of bicycles is Wisconsin-based Trek, whose engineers regularly perform a large number of computational fluid dynamics simulations to design aerodynamic, faster bikes. Currently, Trek is moving toward a solution using a unique approach to Docker containers, Univa Grid Engine - Container Edition, and clusters provided by UberCloud.

The process of moving from the first on-site environment to the current model of using resources on demand and with software that is quickly portable and easy to deploy will speed Trek's development times. The price and performance are attractive for a mid-sized company like Trek, whose value lies in the ability to do design and engineering better than their competition, and tools that let them manage such workflows via containers aid in overall productivity.

"The selling point of containers is the fact that I don't have to change my 'routines' to set up a simulation and solve it."

Mio Suzuki, Trek Bicycle.

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