Onodera, Naoyuki 
; Idomura, Yasuhiro ; Ali, Y.*; Shimokawabe, Takashi*
We develop a communication reduced multi-time- step (CRMT) algorithm for a Lattice Boltzmann method (LBM) based on a block-structured adaptive mesh refinement (AMR). This algorithm is based on the temporal blocking method, and can improve computational efficiency by replacing a communication bottleneck with additional computation. The proposed method is implemented on an extreme scale airflow simulation code CityLBM, and its impact on the scalability is tested on GPU based supercomputers, TSUBAME and Reedbush. Thanks to the CRMT algorithm, the communication cost is reduced by 
, and weak and strong scalings are improved up to 
GPUs. The obtained performance indicates that real time airflow simulations for about 2km square area with the wind speed of 
is feasible using 1m resolution.
Language |
: | English |
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Pages |
: | p.9 - 16 |
Publication Year/Month |
: | 2018/11 |
Meeting title |
: | 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA 2018) |
Held date |
: | 2018/11 |
Location (city) |
: | Dallas |
Location (country) |
: | U.S.A. |
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Article of JAEA R&D Review |
: | Acceleration of Plume Dispersion Model; Reduced-Communication Algorithm for GPU-Based Supercomputers[ |
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Percentile:94.7 Category:Computer Science, Theory & Methods |
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