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GAMER with out-of-core computation

Published online by Cambridge University Press:  27 April 2011

Hsi-Yu Schive ,
Yu-Chih Tsai  and
Tzihong Chiueh
Hsi-Yu Schive
Affiliation:
Department of Physics, National Taiwan University, 106, Taipei, Taiwan, R.O.C. Center for Theoretical Sciences, National Taiwan University, 106, Taipei, Taiwan, R.O.C. Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, 106, Taipei, Taiwan, R.O.C. email: b88202011@ntu.edu.tw
Yu-Chih Tsai
Affiliation:
Department of Physics, National Taiwan University, 106, Taipei, Taiwan, R.O.C.
Tzihong Chiueh
Affiliation:
Department of Physics, National Taiwan University, 106, Taipei, Taiwan, R.O.C. Center for Theoretical Sciences, National Taiwan University, 106, Taipei, Taiwan, R.O.C. Leung Center for Cosmology and Particle Astrophysics, National Taiwan University, 106, Taipei, Taiwan, R.O.C.
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Abstract

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GAMER is a GPU-accelerated Adaptive-MEsh-Refinement code for astrophysical simulations. In this work, two further extensions of the code are reported. First, we have implemented the MUSCL-Hancock method with the Roe's Riemann solver for the hydrodynamic evolution, by which the accuracy, overall performance and the GPU versus CPU speed-up factor are improved. Second, we have implemented the out-of-core computation, which utilizes the large storage space of multiple hard disks as the additional run-time virtual memory and permits an extremely large problem to be solved in a relatively small-size GPU cluster. The communication overhead associated with the data transfer between the parallel hard disks and the main memory is carefully reduced by overlapping it with the CPU/GPU computations.

Keywords

gravitationhydrodynamicsmethods: numerical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 6 , Symposium S270: Computational Star Formation , May 2010 , pp. 401 - 404
Copyright
Copyright © International Astronomical Union 2011

References

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Toro, E. F. 2009, Riemann Solvers and Numerical Methods for Fluid Dynamics. A Practical Introduction. (3rd ed; Heidelberg: Springer)Google Scholar
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