Adapting MoM with RWG basis functions to GPU technology using CUDA

Tomasz Topa; Artur Noga; Andrzej Karwowski

doi:10.1109/LAWP.2011.2154373

Adapting MoM with RWG basis functions to GPU technology using CUDA

Tomasz Topa
, Artur Noga
, Andrzej Karwowski

Department of Electronics; Electrical Engineering and Microelectronics (RAU/RAU11)

Silesian University of Technology

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

In this letter, a CUDA-enabled graphics processing unit (GPU)-accelerated implementation of the method of moments (MoM) for solving three-dimensional conducting bodywire problems is presented. The solution is based on the mixed potential integral equation (MPIE) discretized using RaoWiltonGlisson (RWG) basis functions. The CUDA environment is employed to port a single-CPU sequential code to the parallel GPU platform, and some relevant issues are discussed. Numerical results are given for a helical antenna with a cylindrical cup reflector. The measured speedup of about eight times over the CPU implementation is demonstrated.

Original language	English
Article number	5766704
Pages (from-to)	480-483
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	10
DOIs	https://doi.org/10.1109/LAWP.2011.2154373
Publication status	Published - 2011

Keywords

CUDA
Rao WiltonGlisson (RWG) basis functions
general-purpose computing
graphics processing unit (GPU)
method of moments (MoM)

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/LAWP.2011.2154373

Cite this

@article{678a2bc3febb42258abab7625d932b2c,

title = "Adapting MoM with RWG basis functions to GPU technology using CUDA",

abstract = "In this letter, a CUDA-enabled graphics processing unit (GPU)-accelerated implementation of the method of moments (MoM) for solving three-dimensional conducting bodywire problems is presented. The solution is based on the mixed potential integral equation (MPIE) discretized using RaoWiltonGlisson (RWG) basis functions. The CUDA environment is employed to port a single-CPU sequential code to the parallel GPU platform, and some relevant issues are discussed. Numerical results are given for a helical antenna with a cylindrical cup reflector. The measured speedup of about eight times over the CPU implementation is demonstrated.",

keywords = "CUDA, Rao WiltonGlisson (RWG) basis functions, general-purpose computing, graphics processing unit (GPU), method of moments (MoM)",

author = "Tomasz Topa and Artur Noga and Andrzej Karwowski",

year = "2011",

doi = "10.1109/LAWP.2011.2154373",

language = "English",

volume = "10",

pages = "480--483",

journal = "IEEE Antennas and Wireless Propagation Letters",

issn = "1536-1225",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Adapting MoM with RWG basis functions to GPU technology using CUDA

AU - Topa, Tomasz

AU - Noga, Artur

AU - Karwowski, Andrzej

PY - 2011

Y1 - 2011

N2 - In this letter, a CUDA-enabled graphics processing unit (GPU)-accelerated implementation of the method of moments (MoM) for solving three-dimensional conducting bodywire problems is presented. The solution is based on the mixed potential integral equation (MPIE) discretized using RaoWiltonGlisson (RWG) basis functions. The CUDA environment is employed to port a single-CPU sequential code to the parallel GPU platform, and some relevant issues are discussed. Numerical results are given for a helical antenna with a cylindrical cup reflector. The measured speedup of about eight times over the CPU implementation is demonstrated.

AB - In this letter, a CUDA-enabled graphics processing unit (GPU)-accelerated implementation of the method of moments (MoM) for solving three-dimensional conducting bodywire problems is presented. The solution is based on the mixed potential integral equation (MPIE) discretized using RaoWiltonGlisson (RWG) basis functions. The CUDA environment is employed to port a single-CPU sequential code to the parallel GPU platform, and some relevant issues are discussed. Numerical results are given for a helical antenna with a cylindrical cup reflector. The measured speedup of about eight times over the CPU implementation is demonstrated.

KW - CUDA

KW - Rao WiltonGlisson (RWG) basis functions

KW - general-purpose computing

KW - graphics processing unit (GPU)

KW - method of moments (MoM)

UR - https://www.scopus.com/pages/publications/79958043233

U2 - 10.1109/LAWP.2011.2154373

DO - 10.1109/LAWP.2011.2154373

M3 - Article

AN - SCOPUS:79958043233

SN - 1536-1225

VL - 10

SP - 480

EP - 483

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

M1 - 5766704

ER -

Adapting MoM with RWG basis functions to GPU technology using CUDA

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this