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arxiv: 1607.05537 · v1 · pith:XTJ253MFnew · submitted 2016-07-19 · ⚛️ physics.comp-ph · cs.DC· cs.ET· cs.PF

Scientific Computing Using Consumer Video-Gaming Hardware Devices

classification ⚛️ physics.comp-ph cs.DCcs.ETcs.PF
keywords hardwarecomputingdevicesperformancescientificvideo-gamingapplicationconsumer
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Commodity video-gaming hardware (consoles, graphics cards, tablets, etc.) performance has been advancing at a rapid pace owing to strong consumer demand and stiff market competition. Gaming hardware devices are currently amongst the most powerful and cost-effective computational technologies available in quantity. In this article, we evaluate a sample of current generation video-gaming hardware devices for scientific computing and compare their performance with specialized supercomputing general purpose graphics processing units (GPGPUs). We use the OpenCL SHOC benchmark suite, which is a measure of the performance of compute hardware on various different scientific application kernels, and also a popular public distributed computing application, Einstein@Home in the field of gravitational physics for the purposes of this evaluation.

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