论文信息 - Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

This paper explores the possibilities of using a GPU for complex 3D finite difference computation. We propose a new approach to this topic using surface memory and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. The case study was performed for the extensive computation of collisions between heavy nuclei in terms of relativistic hydrodynamics.

Sebastian Cygert | Joanna Porter-Sobieraj | Daniel Kikola | Jan Sikorski | Marcin Slodkowski

[1] E. Müller,et al. Numerical Hydrodynamics in Special Relativity , 1999, Living reviews in relativity.

[2] E. Toro. Riemann Solvers and Numerical Methods for Fluid Dynamics , 1997 .

[3] Paulius Micikevicius,et al. 3D finite difference computation on GPUs using CUDA , 2009, GPGPU-2.

[4] Eric Darve,et al. Large calculation of the flow over a hypersonic vehicle using a GPU , 2008, J. Comput. Phys..

[5] Massimiliano Fatica,et al. Implementing the Himeno benchmark with CUDA on GPU clusters , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).

[6] Gerhard W. Zumbusch. Vectorized Higher Order Finite Difference Kernels , 2012, PARA.

[7] Graham Pullan,et al. Acceleration of a two-dimensional Euler flow solver using commodity graphics hardware , 2007 .

[8] Joachim A. Maruhn,et al. Relativistic hydrodynamics for heavy-ion collisions. I. General aspects and expansion into vacuum☆ , 1995 .

[9] Philip A. Hughes,et al. Simulations of Relativistic Extragalactic Jets , 1994 .

[10] E. al.,et al. Experimental and theoretical challenges in the search for the quark-gluon plasma: The STAR Collaboration's critical assessment of the evidence from RHIC collisions , 2005, nucl-ex/0501009.

[11] Dimitri Komatitsch,et al. Accelerating a three-dimensional finite-difference wave propagation code using GPU graphics cards , 2010 .