Author :
Ong, Cen Yen ; Weldon, Michael ; Quiring, Scott ; Maxwell, Logan ; Hughes, Matt C. ; Whelan, Conrad ; Okoniewski, Michal
Author_Institution :
Acceleware Corp., Calgary, AB, Canada
fDate :
4/1/2010 12:00:00 AM
Abstract :
GPUs are cost-effective solutions for hardware acceleration of the FDTD algorithm. The acceleration of FDTD on GPUs has made the algorithm more available and affordable with endless possible applications. Hardware acceleration has brought the power of supercomputing to the desktop.
Keywords :
coprocessors; finite difference time-domain analysis; FDTD algorithm; GPU; hardware acceleration; Acceleration; Biological system modeling; Biology computing; Computational modeling; Computer simulation; Finite difference methods; Hardware; Maxwell equations; Software design; Time domain analysis;
Journal_Title :
Microwave Magazine, IEEE
DOI :
10.1109/MMM.2010.935776
