Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

Sebastian Cygert; Daniel Kikoła; Joanna Porter-Sobieraj; Jan Sikorski; Marcin Słodkowski

doi:10.1007/978-3-642-55224-3_47

Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

Abstract

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.

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Authors (5)

Sebastian Cygert mgr inż.
Daniel Kikoła
Joanna Porter-Sobieraj dr inż.
Jan Sikorski mgr inż.
Marcin Słodkowski dr

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Keywords

FINITE DIFFERENCE RIEMANN SOLVER MUSTA-FORCE ALGORITHM PARALLEL ALGORITHMS CUDA

Details

Category:: Monographic publication
Type:: rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:: Parallel Processing and Applied Mathematics strony 500 - 509
Language:: English
Publication year:: 2014
Bibliographic description:: Cygert S., Kikoła D., Porter-Sobieraj J., Sikorski J., Słodkowski M.: Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation// Parallel Processing and Applied Mathematics. Part 1/ : , 2014, s.500-509
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-642-55224-3_47
Verified by:: Gdańsk University of Technology