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Lattice QCD as a video game
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The speed, bandwidth and cost characteristics of today's PC graphics cards make them an attractive target as general purpose computational platforms. High performance can be achieved also for lattice simulations but the actual implementation can be cumbersome. This paper outlines the architecture and programming model of modern graphics cards for the lattice practitioner with the goal of exploiting these chips for Monte Carlo simulations. Sample code is also given.
Forward citations
Cited by 2 Pith papers
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TempLat: a versatile C++ engine for lattice field theories
TempLat and ParaFaFT deliver a performance-portable, expression-template lattice engine and arbitrary-dimension parallel FFTs with demonstrated multi-node CPU/GPU scaling and open-source release.
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Portable Lattice QCD implementation based on OpenCL
An OpenCL-based single-GPU lattice QCD implementation matches CUDA performance on NVIDIA A100 GPUs and also runs on AMD MI250X, on lattice sizes up to 64^4.
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