SCHEDULE: NOV 10-16, 2012
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Evaluation of Magneto-Hydro-Dynamic Simulation on Three Types of Scalar Massively Parallel Computers
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Keiichiro FUKAZAWA, Takeshi NANRI, Toshiya TAKAMI
ROOM:East Entrance
ABSTRACT:
The massively parallel computational performance of magneto-hydro-dynamic (MHD) code is evaluated on the three scalar type supercomputer systems. We have made performance tuning of a three-dimensional MHD code for planetary magnetosphere simulation on the Fujitsu PRIMEHPC FX10 (SPARC64IVfx) 4800 nodes, PRIMERGY CX400 S6 (Sandy Bridge Xeon) 1476 nodes Cray XE6 (Interlagos Opteron) 256 nodes. To adapt the exa-scale computing, we use two- and three-dimensional domain decomposition method in the parallelization. As the results, we obtained the computation efficiency around 20% and good scalability on each system. However the suitable optimization is different among them. The cache tuning is important for the FX10 and the vectorization is more effective to the CX400 and XE6. In this study we also compare the evaluation results with those of other computer systems (Hitachi HA8000, SR16000/L2, Fujitsu FX1, RX200 S6 and NEC SX-9).
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Keiichiro FUKAZAWA - Kyushu University
Takeshi NANRI - Kyushu University
Toshiya TAKAMI - Kyushu University
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Evaluation of Magneto-Hydro-Dynamic Simulation on Three Types of Scalar Massively Parallel Computers
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Keiichiro FUKAZAWA, Takeshi NANRI, Toshiya TAKAMI
ROOM:East Entrance
ABSTRACT:
The massively parallel computational performance of magneto-hydro-dynamic (MHD) code is evaluated on the three scalar type supercomputer systems. We have made performance tuning of a three-dimensional MHD code for planetary magnetosphere simulation on the Fujitsu PRIMEHPC FX10 (SPARC64IVfx) 4800 nodes, PRIMERGY CX400 S6 (Sandy Bridge Xeon) 1476 nodes Cray XE6 (Interlagos Opteron) 256 nodes. To adapt the exa-scale computing, we use two- and three-dimensional domain decomposition method in the parallelization. As the results, we obtained the computation efficiency around 20% and good scalability on each system. However the suitable optimization is different among them. The cache tuning is important for the FX10 and the vectorization is more effective to the CX400 and XE6. In this study we also compare the evaluation results with those of other computer systems (Hitachi HA8000, SR16000/L2, Fujitsu FX1, RX200 S6 and NEC SX-9).
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Keiichiro FUKAZAWA - Kyushu University
Takeshi NANRI - Kyushu University
Toshiya TAKAMI - Kyushu University
Click here to download .ics calendar file