DocumentCode :
1587862
Title :
An improved architecture for the interconnections in a multi-chip CNN system
Author :
Salerno, Mario ; Sargeni, F. ; Bonaiuto, Vincenzo
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Volume :
3
fYear :
1998
Firstpage :
143
Abstract :
The design and realisation of reliable hardware CNN systems with a high number of cells is a key point in research in this field. On this topic, several different solutions have been proposed in VLSI implementations. In previously published papers, the authors presented current-mode interconnection-oriented integrated circuits to realise wide CNN networks. The multi-chip architecture shows the drawback to be a pad-limited structure because of the growing number of the pads required by the interconnections. In this paper a technique to improve the interconnection architecture without any lack of functionality will be presented. This approach will drastically cut the interconnection requirements by 75%. Some simulation results are presented together with experimental results
Keywords :
VLSI; cellular neural nets; integrated circuit interconnections; neural chips; VLSI implementations; functionality; interconnection architecture; multi-chip CNN system; neural ICs; Cellular neural networks; Integrated circuit interconnections; Joining processes; Manufacturing; Neural network hardware; Reliability engineering; Silicon; Surges; Time division multiple access; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
Type :
conf
DOI :
10.1109/ISCAS.1998.703930
Filename :
703930
Link To Document :
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