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SCHEDULE: NOV 12-18, 2011

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Peta-scale Phase-Field Simulation for Dendritic Solidification on the TSUBAME 2.0 Supercomputer

SESSION: ACM Gordon Bell Award Finalists 1

EVENT TYPE: ACM Gordon Bell Finalist

TIME: 2:30PM - 3:00PM

SESSION CHAIR: Thom H. Dunning, Jr.

AUTHOR(S):Takashi Shimokawabe, Takayuki Aoki, Tomohiro Takaki, Akinori Yamanaka, Akira Nukada, Toshio Endo, Naoya Maruyama, Satoshi Matsuoka


The mechanical properties of metal materials largely depend on their intrinsic internal microstructures. To develop engineering materials with the expected properties, predicting patterns in solidified metals would be indispensable. The phase-field simulation is the most powerful method known to simulate the micro-scale dendritic growth during solidification in a binary alloy. To evaluate the realistic description of solidification, however, phase-field simulation requires computing a large number of complex nonlinear terms over a fine-grained grid. Due to such heavy computational demand, previous work on simulating three-dimensional solidification with phase-field methods was successful only in describing simple shapes. Our new simulation techniques achieved scales unprecedentedly large, sufficient for handling complex dendritic structures required in material science. Our simulations on the GPU-rich TSUBAME2.0 supercomputer at the Tokyo Institute of Technology have demonstrated good weak scaling and achieved 1.017 PFlops in single precision for our largest configuration, using 4,000 GPUs along with 16,000 CPU cores.

Chair/Author Details:

Thom H. Dunning, Jr. (Chair) - National Center for Supercomputing Applications

Takashi Shimokawabe - Tokyo Institute of Technology

Takayuki Aoki - Tokyo Institute of Technology

Tomohiro Takaki - Kyoto Institute of Technology

Akinori Yamanaka - Tokyo Institute of Technology

Akira Nukada - Tokyo Institute of Technology

Toshio Endo - Tokyo Institute of Technology

Naoya Maruyama - Tokyo Institute of Technology

Satoshi Matsuoka - Tokyo Institute of Technology

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The full paper can be found in the ACM Digital Library

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