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Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units

Abstract

This paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for the extensive generation of a time series of 3D grids of arbitrary size used in the computation of collisions between heavy nuclei in terms of relativistic hydrodynamics. It proved that implementation based on surface memory is as much as 23% faster than an equivalent implementation using shared memory

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Authors (5)

  • Photo of dr inż. Joanna Porter-Sobieraj

    Joanna Porter-Sobieraj dr inż.

    • Warsaw University of Technology Faculty of Mathematics and Information Science
  • Photo of mgr inż. Sebastian Cygert

    Sebastian Cygert mgr inż.

    • PensionsFirst UK
  • Photo of dr inż. Kikoła Daniel

    Kikoła Daniel dr inż.

    • Warsaw University of Technology, Faculty of Physics
  • Photo of mgr inż. Jan Sikorski

    Jan Sikorski mgr inż.

    • University of Warsaw Faculty of Physics
  • Photo of dr Marcin Słodkowski

    Marcin Słodkowski dr

    • Warsaw University of Technology, Faculty of Physics

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Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE no. 27, pages 1591 - 1602,
ISSN: 1532-0626
Language:
English
Publication year:
2015
Bibliographic description:
Porter-Sobieraj J., Cygert S., Daniel K., Sikorski J., Słodkowski M.: Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units// CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. -Vol. 27, nr. 6 (2015), s.1591-1602
DOI:
Digital Object Identifier (open in new tab) 10.1002/cpe.3351
Verified by:
Gdańsk University of Technology

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