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.
Dynamic Computing Random Access Memory: a brain-inspired computing paradigm with memelements / Di Ventra, M.; Traversa, Fabio Lorenzo; Bonani, Fabrizio; Pershin, Y. V.. - STAMPA. - (2014), pp. 1070-1073. (Intervento presentato al convegno 2014 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Melbourne, Australia nel 1--5 June) [10.1109/ISCAS.2014.6865324].
Dynamic Computing Random Access Memory: a brain-inspired computing paradigm with memelements
TRAVERSA, Fabio Lorenzo;BONANI, Fabrizio;
2014
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.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2556774
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