Impact of GPU Memory Access Patterns on FDTD

被引：0

作者：

Livesey, Matthew ^{[1
]}

Stack, James F., Jr. ^{[1
]}

Costen, Fumie ^{[1
]}

Nanri, Takeshi ^{[1
]}

Nakashima, Norimasa ^{[1
]}

Fujino, Seiji ^{[1
]}

机构：

[1] Accenture, Manchester M21 9HE, Lancs, England

来源：

2012 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI) | 2012年

关键词：

GRAPHICS;

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：

The application of General Purpose computing on a GPU is an effective way to accelerate the FDTD method. This work explores the different domain decomposition techniques from the literature and extends the theoretically best approach with additional flexibility. We examine the performance on both Tesla and Fermi architecture GPUs and identify the best way to determine the GPU parameters for the proposed method.

引用

页数：2

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