The performance scaling as a function of number of cores depends on the used solver technology, the simulation model, and other factors.įor some applications and solver technologies, a high amount of processor cores and more than two processors may be a good option to obtain better performance. It is in general advisable to have a high processor base frequency rather than a large amount of cores. We also recommend 8-16 cores per CPU for a general-purpose simulation workstation. Please note that the processor’s turbo frequency cannot usually be used for long periods due to electrical and thermal limits, so for general performance and for long simulation times the base frequency gives a more realistic performance expectation. Minimum requirement: x86-64 CPU from Intel or AMDįor Intel processors, we recommend the latest Intel® Xeon® processors in a dual socket configuration for a high-end workstation or server configuration currently these are the 3rd Generation Intel® Xeon® Scalable Processors, also known as “Cooper Lake“.įor AMD processors, we recommend AMD EPYC™ 7003 Series processors in a dual socket configuration for a high-end workstation or server configuration currently these are the 3rd Gen AMD EPYC™ Processors also known as “Milan“. A fast network connectionīetween the solvers servers, the main controller, and the frontend is recommended as simulations may generate a lot of data that needs to be transferred.

High-end NVIDIA Quadro® or NVIDIA® Tesla® cardįast network interconnects with low latency is strongly recommended.įor optimal simulation performance, the solver servers should run on separate computers from the frontend and the main controller. We recommend SSDs for better performance. We recommend fastest RAM memory modules available, currently DDR4 or DDR5 memory type. We recommend high processor base clock frequency (>3 GHz) and 8-16 cores per CPUĪre recommended for general-purpose simulation workstation

Dual 3rd Generation Intel® Xeon® Scalable Processorsĭual 3rd Gen AMD EPYC™ Processors (also known as “Milan“)

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