A starting guide to simulation and modeling clusters
Racecar Engineering|July 2020
When the smallest calculation can make all the difference, you need infrastructure you can trust to run your simulation and modeling workloads at scale
A starting guide to simulation and modeling clusters

When your workload demands High-Performance Computing (HPC) power, a desktop solution won’t pass muster. You need to run your simulations at scale and when time is of the essence you can’t risk making the wrong decisions over your infrastructure; getting it wrong can be a costly and time-consuming thing to rectify!

Manufacturing and research companies rely on CFD/CAE in an increasingly competitive environment. Such computerisation provides the capability to explore design parameters, reduce prototyping costs and produce optimised products within a short timeframe. Many applications used in CFD/CAE are capable of distributing computation across multiple machines that are configured to act as one; in other words a cluster! An HPC cluster will provide a scalable resource that will deliver support for larger and more complex design models, better-grained models and ultimately vastly higher productivity when compared to a singlesystem model for simulation workloads.

This story is from the July 2020 edition of Racecar Engineering.

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This story is from the July 2020 edition of Racecar Engineering.

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