DocumentCode :
396185
Title :
Analog weight buffering strategy for CNN chips
Author :
Liñán-Cembrano, G. ; Rodriguez-Vàzquez, A. ; Carmona, R. ; Espejo, S. ; Dominguez-Castro, R.
Author_Institution :
Instituto de Microelectron. de Sevilla, Spain
Volume :
3
fYear :
2003
fDate :
25-28 May 2003
Abstract :
Large, gray-scale CNN chips employ analog signals to achieve high-density in the internal distribution of the template parameters. Despite the design strategies adopted at the circuitry employed to implement the weights, accuracy is ultimately limited by the controlling signals. This paper presents a buffering strategy intended to achieve 8-bit equivalent accuracy in the distribution of the internal analog signals, as employed in the chips ACE4k, ACE16k, and CACE1k.
Keywords :
analogue processing circuits; buffer circuits; cellular neural nets; neural chips; ACE16k; ACE4k; CACE1k; analog signals; analog weight buffering strategy; large gray-scale CNN chips; low-impedance nodes; template parameters; very large arrays; Cellular neural networks; Circuits; Degradation; Gray-scale; Impedance; Resistors; Signal analysis; Signal design; Signal generators; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
Type :
conf
DOI :
10.1109/ISCAS.2003.1205071
Filename :
1205071
Link To Document :
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