Towards an efficient multi-stage Riemann solver for nuclear physics simulations

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

Towards an efficient multi-stage Riemann solver for nuclear physics simulations

Abstract

Relativistic numerical hydrodynamics is an important tool in high energy nuclear science. However, such simulations are extremely demanding in terms of computing power. This paper focuses on improving the speed of solving the Riemann problem with the MUSTA-FORCE algorithm by employing the CUDA parallel programming model. We also propose a new approach to 3D finite difference algorithms, which employ a GPU that uses surface memory. Numerical experiments show an unprecedented increase in the computing power compared to a CPU.

Authors (5)

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

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Keywords

GRAPHICS PROCESSING UNITS , COMPUTATIONAL MODELING , INSTRUCTION SETS , MATHEMATICAL MODEL , HYDRODYNAMICS , REGISTERS , NUMERICAL MODELS

Details

Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: Proceedings of the Federated Conference on Computer Science and Information Systems - FedCSIS 2013 strony 441 - 446
Language:: English
Publication year:: 2013
Bibliographic description:: Cygert S., Porter-Sobieraj J., Kikoła D., Sikorski J., Słodkowski M.: Towards an efficient multi-stage Riemann solver for nuclear physics simulations// Proceedings of the Federated Conference on Computer Science and Information Systems - FedCSIS 2013/ : , 2013, s.441-446
Verified by:: Gdańsk University of Technology