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