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Optimizing LS-DYNA® Productivity in Cluster Environments

Contributors: Gilad Shainer, Swati Kher - Mellanox Technologies

Increasing demand for computing power in scientific and engineering applications has spurred deployment of high- performance computing (HPC) clusters. Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) are computational technologies that can take advantage of HPC clusters for increasing engineering design productivity, reduce development cost and faster time to market. The end-user benefits are far more sophisticated, enhanced, safer and robust products. With increase usage of multi-core in HPC clusters, FEA and CFD applications need to be highly parallel and scalable in order to fully utilize cluster computing ability. Moreover, multi-core based clusters impose higher demands on cluster components, in particular cluster interconnect. In this paper we investigate the optimum usage of high-performance clusters for maximum efficiency and productivity, for CAE applications, and for automotive design in particular.

ComputingTechnology-3.pdf — PDF document, 83Kb