Title :
Fast evolutionary image processing using Multi-GPUs
Author :
Ando, Jun ; Nagao, Tomoharu
Author_Institution :
Yokohama Nat. Univ., Yokohama
Abstract :
In this paper, the authors propose a fast evolutionary image processing system. The authors employ graphics processing unit (GPU) to automatic construction of tree-structural image transformation (ACTIT) for the purpose of reducing optimization time. Besides, the system calculates in parallel by using multiple GPUs for the fast processing. The optimization speed of the proposed system is several hundred times faster than that of the ordinary ACTIT. Experimental results show that the proposed system is effective.
Keywords :
digital signal processing chips; image processing; optimisation; parallel processing; evolutionary image processing system; fast evolutionary image processing; graphics processing unit; multiple GPUs; optimization; tree-structural image transformation automatic construction; Character generation; Evolutionary computation; Filters; Genetic programming; Graphics; Hardware; Image processing; Machine intelligence; Parallel processing; Tree graphs;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4413831
