IMPLEMENTATION OF THE LORENTZ-DRUDE MODEL INCORPORATED FDTD METHOD ON MULTIPLE GPUs FOR PLASMONICS APPLICATIONS

被引：1

作者：

Ahmed, Iftikhar ^{[1
]}

Goh, Rick Siow Mong ^{[2
]}

Khoo, Eng Huat ^{[1
]}

Lee, Kim Huat ^{[2
]}

Zhong, Siaw Kian ^{[3
]}

Li, Erping ^{[1
]}

Hung, Terence ^{[2
]}

机构：

[1] Univ Tabuk, Dept Elect Engn, Tabuk, Saudi Arabia

[2] Inst High Performance Comp, Dept Comp Sci, Singapore 138632, Singapore

[3] Natl Univ Singapore, Engn Sci Program, Singapore 119077, Singapore

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS | 2014年 / 11卷 / 04期

关键词：

FDTD; Lorentz-Drude model; GPU; NUMERICAL DISPERSION ANALYSIS; TIME-DOMAIN METHOD;

D O I：

10.1142/S0219876213500631

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The Lorentz-Drude model incorporated Maxwell equations are simulated by using the three-dimensional finite difference time domain (FDTD) method and the method is parallelized on multiple graphics processing units (GPUs) for plasmonics applications. The compute unified device architecture (CUDA) is used for GPU parallelization. The Lorentz-Drude (LD) model is used to simulate the dispersive nature of materials in plasmonics domain and the auxiliary differential equation (ADE) approach is used to make it consistent with time domain Maxwell equations. Different aspects of multiple GPUs for the FDTD method are presented such as comparison of different numbers of GPUs, transfer time in between them, synchronous, and asynchronous passing. It is shown that by using multiple GPUs in parallel fashion, significant reduction in the simulation time can be achieved as compared to the single GPU.

引用

页数：16

共 21 条

[1] Modeling and simulation of active plasmonics with the FDTD method by using solid state and Lorentz-Drude dispersive model [J].