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

机译:大规模并行模拟相对论流体动力学   带有CUDa的图形处理单元

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摘要

Relativistic fluid dynamics is a major component in dynamical simulations ofthe quark-gluon plasma created in relativistic heavy-ion collisions.Simulations of the full three-dimensional dissipative dynamics of thequark-gluon plasma with fluctuating initial conditions are computationallyexpensive and typically require some degree of parallelization. In this paper,we present a GPU implementation of the Kurganov-Tadmor algorithm which solvesthe 3+1d relativistic viscous hydrodynamics equations including the effects ofboth bulk and shear viscosities. We demonstrate that the resulting CUDA-basedGPU code is approximately two orders of magnitude faster than the correspondingserial implementation of the Kurganov-Tadmor algorithm. We validate the codeusing (semi-)analytic tests such as the relativistic shock-tube and Gubserflow.
机译:相对论性流体动力学是相对论重离子碰撞中产生的夸克-胶子等离子体动力学模拟的主要组成部分。对初始条件波动的夸克-胶子等离子体的完整三维耗散动力学的模拟在计算上是昂贵的,并且通常需要一定程度的并行化。在本文中,我们介绍了Kurganov-Tadmor算法的GPU实现,该算法解决了3 + 1d相对论粘性流体力学方程,包括体积和剪切粘度的影响。我们证明了所得的基于CUDA的GPU代码比Kurganov-Tadmor算法的相应串行实现快大约两个数量级。我们使用半相对分析测试(例如相对论激波管和Gubserflow)来验证代码。

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