DocumentCode :
1768701
Title :
Dynamic computing random access memory: A brain-inspired computing paradigm with memelements
Author :
Di Ventra, Massimiliano ; Traversa, Fabio Lorenzo ; Bonani, Fabrizio ; Pershin, Yuriy V.
Author_Institution :
Dept. of Phys., Univ. of California San Diego, La Jolla, CA, USA
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
1070
Lastpage :
1073
Abstract :
We discuss the implementation of a novel approach to computing named memcomputing using memelements - in particular memcapacitive systems. It is shown that solid-state memcapacitive systems are ideal to implement such a concept since they support information processing and storage at the same physical location at low-energy cost. This feature can be used to perform boolean logic functions “on demand” directly in memory. In this paper, we develop the idea of a memcapacitive dynamic computing random access memory introducing a novel computing scheme based on Voltage Sense Amplifiers, and discussing some features of information storage in internal states of memcapacitive systems in the presence of leakage currents.
Keywords :
Boolean functions; leakage currents; random-access storage; Boolean logic functions; brain-inspired computing paradigm; information processing; information storage; leakage currents; memcapacitive dynamic computing random access memory; memcomputing; memelements; solid-state memcapacitive systems; voltage sense amplifiers; Logic gates; Metals; Orbits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865324
Filename :
6865324
Link To Document :
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