大規模時空間並列計算でのParareal法の性能評価

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  • Performance Evaluation of Parareal Method for Large-Scale Spatio-Temporal Computation
  • ダイキボ ジクウカン ヘイレツ ケイサン デ ノ Pararealホウ ノ セイノウ ヒョウカ

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To achieve high-performance computation on recent supercomputer architecture with numerous cores, it is required to incorporate various parallelism into parallel simulation to break performance saturation employing only domain decomposition approach. Parallel-in-Time (PinT) is one of the most promising candidate for such issues. In this paper, the authors demonstrate that Parareal method is simple but still effective implementation of PinT and its Pipelined version shows higher performance. Performance evaluation was conducted on the K Computer with upto 8,000 nodes and found that Pipelined Parareal method with domain decomposition method achieved 222 times faster than the its sequential time-integration.

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