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