Title :
Performance optimization for pattern recognition using associative neural memory
Author :
Wu, Qing ; Mukre, Prakash ; Linderman, Richard ; Renz, Tom ; Burns, Daniel ; Moore, Michael ; Qiu, Qinru
Author_Institution :
Dept. of Electr. & Comput. Eng., Binghamton Univ., Binghamton, NY
fDate :
June 23 2008-April 26 2008
Abstract :
In this paper, we present our work in the implementation and performance optimization of the recall operation of the brain-state-in-a-box (BSB) model on the cell broadband engine processor. We have applied optimization techniques on different parts of the algorithm to improve the overall computing and communication performance of the BSB recall algorithm. Runtime measurements show that, we have been able to achieve about 70% of the theoretical peak performance of the processor.
Keywords :
content-addressable storage; microprocessor chips; neural chips; optimisation; pattern recognition; BSB recall algorithm; associative neural memory; brain-state-in-a-box model; cell broadband engine processor; optimization techniques; pattern recognition; recall operation; Bandwidth; Brain modeling; Computer architecture; Engines; High performance computing; Large-scale systems; Mathematical model; Optimization; Pattern recognition; Samarium;
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
DOI :
10.1109/ICME.2008.4607356
