DocumentCode :
165433
Title :
Architectural design exploration for neuromorphic processors with memristive synapses
Author :
Qian Wang ; Yongtae Kim ; Peng Li
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2014
fDate :
18-21 Aug. 2014
Firstpage :
962
Lastpage :
966
Abstract :
Due to their nonvolatile nature, excellent scalability and high density, memristive nanodevices provide a promising solution for low-cost on-chip storage. Integrating memristor-based synaptic crossbars into digital neuromorphic processors (DNPs) may facilitate efficient realization of brain inspired computing. This paper investigates architectural design exploration of DNPs with memristive synapses by proposing two synapse readout schemes. The key design tradeoffs involving different analog-to-digital conversions and memory accessing styles are thoroughly investigated.
Keywords :
integrated circuit design; memristors; nanoelectronics; neural chips; DNPs; analog-to-digital conversions; architectural design exploration; brain inspired computing; digital neuromorphic processors; low-cost on-chip storage; memory accessing styles; memristive nanodevices; memristor-based synaptic crossbars; synapse readout schemes; Analog-digital conversion; Arrays; Memristors; Neuromorphics; Neurons; Program processors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nanotechnology (IEEE-NANO), 2014 IEEE 14th International Conference on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/NANO.2014.6967962
Filename :
6967962
Link To Document :
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