A Practical Look at GPU-Accelerated FDTD Performance

被引：0

作者：

Weldon, Mike ^{[1
]}

Maxwell, Logan ^{[1
]}

Cyca, Dan ^{[1
]}

Hughes, Matt ^{[1
]}

Whelan, Conrad ^{[1
]}

Okoniewski, Michal ^{[1
,2
]}

机构：

[1] Acceleware Corp, Calgary, AB T3C 3P1, Canada

[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada

来源：

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2010年 / 25卷 / 04期

关键词：

GPU; acceleration; FDTD; CPML; dispersive materials;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper outlines several key features and conditions that impact the performance of FDTD on GPUs. It includes relevant performance measurements as well as practical suggestions on how to mitigate their impact. Among these factors are: PML depth, the number of unique materials, dispersive materials, the impact of field reads/observations, simulation orientation, and domain decomposition using multiple GPUs. The paper shows that the performance of FDTD on GPUs can be limited in certain extreme cases, but with proper care on the part of the designer these cases can be managed and maximum performance guaranteed.

引用

页码：315 / 322

页数：8