Title :
Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method
Author :
Wu, Dagang ; Chen, Ji
Abstract :
In this paper, a GPU accelerated three-dimensional finite difference method is presented as an efficient approach of performing fast parallel simulations of composite materials. Using a NVIDIA GeForce 9800 series GPGPU and with an optimized CUDA implementation, a considerable speed-up (>20) was observed for simulations of large size problems. Further performance improvements could be achieved by further efficient data transfer and access between shared memory and global memory, using distributed computing with multiple video cards, , and etc.
Keywords :
composite materials; computer graphic equipment; coprocessors; digital simulation; finite difference methods; parallel processing; periodic structures; permittivity; physics computing; GPU accelerated three-dimensional finite difference method; NVIDIA GeForce 9800 series GPGPU; composite material electrical properties; distributed computing; general purpose graphics processing unit platform; multiple video cards; optimized CUDA; periodic composite structures; Central Processing Unit; Composite materials; Computational modeling; Electric potential; Finite difference methods; Graphics processing unit; Permittivity;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-4967-5
DOI :
10.1109/APS.2010.5561731