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arXiv · 1608.06577

Massively parallel simulations of relativistic fluid dynamics on graphics processing units with CUDA

Dennis Bazow·Ulrich W. Heinz·Michael Strickland
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Abstract

Relativistic fluid dynamics is a major component in dynamical simulations of the quark-gluon plasma created in relativistic heavy-ion collisions. Simulations of the full three-dimensional dissipative dynamics of the quark-gluon plasma with fluctuating initial conditions are computationally expensive and typically require some degree of parallelization. In this paper, we present a GPU implementation of the Kurganov-Tadmor algorithm which solves the 3+1d relativistic viscous hydrodynamics equations including the effects of both bulk and shear viscosities. We demonstrate that the resulting CUDA-based GPU code is approximately two orders of magnitude faster than the corresponding serial implementation of the Kurganov-Tadmor algorithm. We validate the code using (semi-)analytic tests such as the relativistic shock-tube and Gubser flow.

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Dennis Bazow, Ulrich W. Heinz, Michael Strickland. 2016-08-23. Massively parallel simulations of relativistic fluid dynamics on graphics processing units with CUDA. https://doi.org/10.1016/j.cpc.2017.01.015

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