Title :
Numerical Parallel Processing Based on GPU with CUDA Architecture
Author :
Zou, Chengming ; Xia, Chunfen ; Zhao, Guanghui
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
The characteristics of modern graphics processing unit (GPU) is programmable, high price / performance ratio and high speed . It has a strong ability to adapt the parallel calculation, Based on this, the article study the general method of GPU calculating and use compute unified device architecture (CUDA) to design new parallel algorithm to accelerate the matrix inversion and binarization algorithm. The results show that with the increase of matrix dimension, GPU performs much better than CPU in increase multiple.
Keywords :
coprocessors; matrix inversion; parallel algorithms; parallel architectures; binarization algorithm; compute unified device architecture; graphics processing unit; matrix inversion; numerical parallel processing; parallel algorithm; parallel calculation; Acceleration; Bandwidth; Central Processing Unit; Computer architecture; Concurrent computing; Graphics; Multicore processing; Parallel algorithms; Parallel processing; Yarn; Binarization algorithm; CUDA; GPU; matrix inversion; parallel algorithm;
Conference_Titel :
Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3901-0
Electronic_ISBN :
978-1-4244-5400-6
DOI :
10.1109/WNIS.2009.46
