COMPARISON OF CPML IMPLEMENTATIONS FOR THE GPU-ACCELERATED FDTD SOLVER

被引：7

作者：

Toivanen, J. I. ^{[1
]}

Stefanski, T. P. ^{[2
]}

Kuster, N. ^{[2
]}

Chavannes, N. ^{[3
]}

机构：

[1] Univ Jyvaskyla, Dept Math Informat Technol, POB 35, FI-40014 Jyvaskyla, Finland

[2] ETH, ITIS Fdn, Zurich, Switzerland

[3] Schmid & Partner Engn AG SPEAG, Zurich, Switzerland

来源：

PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2011年 / 19卷

关键词：

D O I：

10.2528/PIERM11061002

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：

Three distinctively different implementations of convolutional perfectly matched layer for the FDTD method on CUDA enabled graphics processing units are presented. All implementations store additional variables only inside the convolutional perfectly matched layers, and the computational speeds scale according to the thickness of these layers. The merits of the different approaches are discussed, and a comparison of computational performance is made using complex real-life benchmarks.

引用

页码：61 / 75

页数：15

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