Title :
Arithmetic encoding for memristive multi-bit storage
Author :
Ravi Patel;Eby G. Friedman
Author_Institution :
Department of Electrical and Computer Engineering, University of Rochester, New York 14627, USA
Abstract :
Memristive memories have received significant interest for application to on-chip storage. A multi-bit memristive memory circuit architecture based on arithmetic coding is presented in this paper. Both read and write circuits are presented which encode information into the memristive data cells. The proposed circuits provide fine control of the resistance within the memristor. The continuous resistance characteristic of memristive devices is exploited to provide additional storage by utilizing compression techniques. This approach yields an increase in overall bit density for a memristor based data array as compared to a standard multi-bit cell array.
Keywords :
"Switches","Encoding"
Conference_Titel :
VLSI and System-on-Chip, 2012 (VLSI-SoC), IEEE/IFIP 20th International Conference on
Print_ISBN :
978-1-4673-2658-2
DOI :
10.1109/VLSI-SoC.2012.7332084