White Papers

GPU Cluster for High Performance Computing

Overview Inspired by the attractive Flops/dollar ratio and the incredible growth in the speed of modern Graphics Processing Units (GPUs), they propose to use a cluster of GPUs for high performance scientific computing. As an example application, they have developed a parallel flow simulation using the Lattice Boltzmann Model (LBM) on a GPU cluster and have simulated the dispersion of airborne contaminants in the Times Square area of New York City. Using 30 GPU nodes, the simulation can compute a 480x400x80 LBM in 0.31 second/ step, a speed which is 4.6 times faster than that of the CPU cluster implementation. Besides the LBM, they also discuss other potential applications of the GPU cluster, such as cellular automata, PDE solvers, and FEM.

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Publisher
Institute of Electrical and Electronics Engineers
File Format
PDF
Date Published
Dec 4, 2008
Format
White Papers
Topics
Graphics Applications, High Performance Computing

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