图形卡上的相对论流体力学
Relativistic Hydrodynamics on Graphic Cards
摘要：
我们展示了如何使用图形卡（图形处理单元，GPU）加速相对论流体动力学模拟。这些改进具有最高的相关性，例如，在RHIC和LHC的高能核-核碰撞领域，其中（理想和耗散）相对论流体动力学被用来计算热和致密QCD物质的演化。这里报告的结果是基于夏普和平滑传输算法（SHASTA），这是在许多流体动力学模型和混合模拟包，例如超相对论量子分子动力学模型（UrQMD）。我们使用OpenCL计算框架重新设计了SHASTA，以在图形处理单元（GPU）等加速器以及多核处理器上工作。随着算法的重新设计，流体动力学计算已经加速了160倍，允许逐个事件的计算和混合计算中更好的统计。
英文摘要：
We show how to accelerate relativistic hydrodynamics simulations using graphic cards (graphic processing units, GPUs). These improvements are of highest relevance e.g. to the field of high-energetic nucleus-nucleus collisions at RHIC and LHC where (ideal and dissipative) relativistic hydrodynamics is used to calculate the evolution of hot and dense QCD matter. The results reported here are based on the Sharp And Smooth Transport Algorithm (SHASTA), which is employed in many hydrodynamical models and hybrid simulation packages, e.g. the Ultrarelativistic Quantum Molecular Dynamics model (UrQMD). We have redesigned the SHASTA using the OpenCL computing framework to work on accelerators like graphic processing units (GPUs) as well as on multi-core processors. With the redesign of the algorithm the hydrodynamic calculations have been accelerated by a factor 160 allowing for event-by-event calculations and better statistics in hybrid calculations.
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