DocumentCode :
3019402
Title :
Nanodevice-based novel computing paradigms and the neuromorphic approach
Author :
Zhao, Weisheng ; Querlioz, Damien ; Klein, Jacques-Olivier ; Chabi, Djaafar ; Chappert, Claude
Author_Institution :
IEF, Univ. Paris-Sud, Orsay, France
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
2509
Lastpage :
2512
Abstract :
Deep submicron (<;90nm) Integrated Circuits (IC) suffer from both high static and dynamic power consumption, which are caused respectively by the growing leakage currents and large capacitance bus traffic. Nanodevice based novel computing paradigms are currently under intense investigation to overcome these issues and build up the next generation ICs performing with higher power efficiency and operating performance. In this paper, an overview and current status of this field is first presented, and then we focus on the memristive nanodevices based neuromorphic approach, which is considered as one of the most promising computing paradigms for power reduction and process variation or defect tolerance.
Keywords :
leakage currents; low-power electronics; memristors; nanoelectronics; neural nets; deep submicron integrated circuit; defect tolerance; dynamic power consumption; large capacitance bus traffic; leakage current; memristive nanodevice; nanodevice-based novel computing paradigm; neuromorphic approach; next generation IC; operating performance; power efficiency; power reduction; process variation; static power consumption; Conductors; Integrated circuits; Materials; Memristors; Nanobioscience; Temperature distribution; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6271812
Filename :
6271812
Link To Document :
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