DocumentCode :
3061234
Title :
Data level parallel processing for object recognition on Recursive Torus Architecture
Author :
Matsuyama, T. ; Asada, N. ; Aoyama, M. ; Kamashita, A. ; Asazu, H. ; Yamamoto, H. ; Ogawa, K.
Author_Institution :
Dept. of Inf. Technol., Okayama Univ., Japan
fYear :
1995
fDate :
18-20 Sep 1995
Firstpage :
90
Lastpage :
97
Abstract :
The paper gives a brief overview of the hardware design of RTA/1 (with 1024 PEs), a parallel machine designed based on the Recursive Torus Architecture (T. Matsuyama et al., 1993). We developed a small scale prototype machine with 16 PEs, RTA/0, to evaluate its performance. Then, we propose a scheme of data level parallel processing on RTA/1 and demonstrate its utilities by implementing complex parallel processes for bottom up object recognition on RTA/0
Keywords :
object recognition; parallel architectures; parallel machines; RTA/1; bottom up recognition; complex parallel processes; data level parallel processing; hardware design; object recognition; parallel machine; recursive torus architecture; small scale prototype machine; Concurrent computing; Data structures; Filtering algorithms; Hardware; Image edge detection; Object recognition; Parallel machines; Parallel processing; Prototypes; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Architectures for Machine Perception, 1995. Proceedings. CAMP '95
Conference_Location :
Como
Print_ISBN :
0-8186-7134-3
Type :
conf
DOI :
10.1109/CAMP.1995.521023
Filename :
521023
Link To Document :
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