A get started guide to simulation and modeling clusters
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When the smallest calculation can make all the difference, you need infrastructure you can trust to run your simulation and modeling workloads at scale.
When your workloads demand 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, to provide the capabilities to explore design parameters, reduce prototyping costs and produce optimised products within a shorter timeframe. Many applications used in CFD/CAE are capable of distributing computation across multiple machines that are configured to act as one – a cluster! An HPC cluster will provide a scalable resource that will deliver; support for larger and more complex design models, a better-grained models, and ultimately vastly higher productivity – when compared to a single-system model for simulation workloads. Understandably the idea of designing, installing and managing your own HPC-infrastructure can cause alarm, with a multitude of ?HPC Solutions? it can come across as a complicated, multi-faceted and sometimes contradictory area of computing that seems like too much of a risk to get wrong. Having the skills or expertise to design, configure, order, deploy and...
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