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

作者：Bazow Dennis^*; Heinz Ulrich; Strickland Michael

来源：Computer Physics Communications, 2018, 225: 92-113.

DOI：10.1016/j.cpc.2017.01.015

• Relativistic fluid dynamics
• Quark-gluon plasma
• GPU
• CUDA
• Parallel computing

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.
Program summary
Program Title: GPU-VH
Program Files doi: http://dx.doi.org/10.17632/dhnmtfpz9k.1
Licensing Provisions: GPLv3
Programming language: CUDA C
External routines/libraries: Google Test, GNU Scientific Library (GSL)
Nature of pro

• 出版日期2018-4