Title :
Adapting MoM With RWG Basis Functions to GPU Technology Using CUDA
Author :
Topa, Tomasz ; Noga, Artur ; Karwowski, Andrzej
Author_Institution :
Dept. of Electron., Silesian Univ. of Technol., Gliwice, Poland
fDate :
7/3/1905 12:00:00 AM
Abstract :
In this letter, a CUDA-enabled graphics processing unit (GPU)-accelerated implementation of the method of moments (MoM) for solving three-dimensional conducting body-wire problems is presented. The solution is based on the mixed potential integral equation (MPIE) discretized using Rao-Wilton-Glisson (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 :
electrical engineering computing; graphics processing units; helical antennas; integral equations; parallel architectures; reflector antennas; CUDA; CUDA-enabled graphics processing unit; GPU technology; GPU-accelerated implementation; MPIE; MoM; RWG basis functions; basis functions; cylindrical cup reflector; helical antenna; method of moments; mixed potential integral equation; three-dimensional conducting body-wire problems; Acceleration; Graphics processing unit; Impedance; Kernel; Mathematical model; Moment methods; Wires; CUDA; Rao– Wilton–Glisson (RWG) basis functions; general-purpose computing; graphics processing unit (GPU); method of moments (MoM);
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2011.2154373