DocumentCode :
3500654
Title :
Reconfigurable N-level memristor memory design
Author :
Merkel, Cory E. ; Nagpal, Nakul ; Mandalapu, Sindhura ; Kudithipudi, Dhireesha
Author_Institution :
Dept. of Comput. Eng., Rochester Inst. of Technol., Rochester, NY, USA
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
3042
Lastpage :
3048
Abstract :
Memristive devices have gained significant research attention lately because of their unique properties and wide application spectrum. In particular, memristor-based resistive random access memory (RRAM) offers the high density, low power, and low volatility required for next-generation non-volatile memory. The ability to program memristive devices into several different resistance states has also led to the proposal of multilevel RRAM. This work analyzes the application of thinfilm memristors as N-level RRAM elements. The tradeoffs between the number of memory levels and each RRAM element´s reliability will be discussed. A metric is proposed to rate each RRAM element in the presence of process variations. A memory architecture is also presented which allows the number of memory levels to be reconfigured based on different application characteristics. The proposed architecture can achieve a write time speedup of 5.9 over other memristor memory architectures with 80% ion mobility degradation.
Keywords :
memristors; random-access storage; thin film resistors; N-level RRAM elements; ion mobility degradation; memristor memory architectures; memristor-based resistive random access memory; next-generation nonvolatile memory; program memristive devices; reconfigurable N-level memristor memory design; thinfilm memristors; Degradation; Measurement; Memristors; Noise; Resistance; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
ISSN :
2161-4393
Print_ISBN :
978-1-4244-9635-8
Type :
conf
DOI :
10.1109/IJCNN.2011.6033622
Filename :
6033622
Link To Document :
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