DocumentCode
2693230
Title
Some performance results for a connection machine implementation of the boundary contour system
Author
York, Bryant W. ; Atkins, Mary K.
fYear
1990
fDate
17-21 June 1990
Firstpage
351
Abstract
Implementation techniques and performance results for an implementation of the BCS (boundary contour system) on the Connection Machine model CM-2 are presented. In particular, the authors are able to duplicate their completion and end-cut experiments on a 128×128 network with four layers, 12 orientations, and a 19×19 F/G-kernel size, with between one and two orders of magnitude speedup over a serial implementation on an IBM 3090. The authors achieve average elapsed times of 65 s per full BCS step, of which approximately 11 s represents work done in the CM-2 back end. The elapsed time is dependent on the time-sharing load of the front-end computer and may vary by as much as 50%. This speedup derives from efficient implementations of the F/G-kernel convolution and the underlying ordinary differential equation solver. To attain even higher performance, it is necessary to understand the CM-2 back end at the microcode level
Keywords
computerised picture processing; neural nets; parallel architectures; performance evaluation; BCS; CM-2 back end; Connection Machine model CM-2; F/G-kernel convolution; boundary contour system; connection machine; front-end computer; microcode; ordinary differential equation solver; time-sharing load;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137593
Filename
5726553
Link To Document