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

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Yamaguchi, T., Ichimura, T., Fujita, K., Hori, M., & Wijerathne, L. (2019). Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-Dimensional Inner Structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11537 LNCS, pp. 389–401). Springer Verlag. https://doi.org/10.1007/978-3-030-22741-8_28

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free