Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-Dimensional Inner Structure

被引:1
作者
Yamaguchi, Takuma [1 ,2 ]
Ichimura, Tsuyoshi [1 ,2 ]
Fujita, Kohei [1 ,2 ]
Hori, Muneo [3 ]
Wijerathne, Lalith [1 ,2 ]
机构
[1] Univ Tokyo, Earthquake Res Inst, Bunkyo Ku, Tokyo, Japan
[2] Univ Tokyo, Dept Civil Engn, Bunkyo Ku, Tokyo, Japan
[3] Japan Agcy Marine Earth Sci & Technol, Yokosuka, Kanagawa, Japan
来源
COMPUTATIONAL SCIENCE - ICCS 2019, PT II | 2019年 / 11537卷
关键词
Heuristic optimization; CPU-GPU collaborative computing; CUDA; Finite element analysis; Conjugate gradient method;
D O I
10.1007/978-3-030-22741-8_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To increase the reliability of numerical simulations, it is important to use more reliable models. This study proposes a method to generate a finite element model that can reproduce observational data in a target domain. Our proposed method searches parameters to determine finite element models by combining simulated annealing and finite element wave propagation analyses. In the optimization, we utilize heterogeneous computer resources. The finite element solver, which is the computationally expensive portion, is computed rapidly using GPU computation. Simultaneously, we generate finite element models using CPU computation to overlap the computation time of model generation. We estimate the inner soil structure as an application example. The soil structure is reproduced from the observed time history of velocity on the ground surface using our developed optimizer.
引用
收藏
页码:389 / 401
页数:13
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