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ZHU, K. MAHMOODI, M. FAHIMI, Z. XIAO, Y. WANG, T. BUKVIŠOVÁ, K. KOLÍBAL, M. ROLDÁN, J. PEREZ, D. AGUIRRE, F. LANZA, M.
Originální název
Memristors with Initial Low-Resistive State for Efficient Neuromorphic Systems
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Memristive electronic synapses are attractive to construct artificial neural networks (ANNs) for neuromorphic computing systems, owing to their excellent electronic performance, high integration density, and low cost. However, the necessity of initializing their conductance through a forming process requires additional peripheral hardware and complex programming algorithms. Herein, the first fabrication of memristors that are initially in low-resistive state (LRS) is reported, which exhibit homogenous initial resistance and switching voltages. When used as electronic synapses in a neuromorphic system to classify images from the CIFAR-10 dataset (Canadian Institute For Advanced Research), the memristors offer x1.83 better throughput per area and consume x0.85 less energy than standard memristors (i.e., with the necessity of forming), which stems from approximate to 63% better density and approximate to 17% faster operation. It is demonstrated in the results that tuning the local properties of materials embedded in memristive electronic synapses is an attractive strategy that can lead to an improved neuromorphic performance at the system level.
Klíčová slova
forming-free devices; low-resistive state; memristors; neuromorphic systems; titanium dioxide
Autoři
ZHU, K.; MAHMOODI, M.; FAHIMI, Z.; XIAO, Y.; WANG, T.; BUKVIŠOVÁ, K.; KOLÍBAL, M.; ROLDÁN, J.; PEREZ, D.; AGUIRRE, F.; LANZA, M.
Vydáno
21. 3. 2022
Nakladatel
Wiley
Místo
HOBOKEN
ISSN
2640-4567
Periodikum
Advanced Intelligent Systems
Ročník
4
Číslo
3
Stát
Spojené státy americké
Strany od
2200001
Strany do
220001
Strany počet
9
URL
https://onlinelibrary.wiley.com/doi/10.1002/aisy.202200001
Plný text v Digitální knihovně
http://hdl.handle.net/11012/204285
BibTex
@article{BUT177525, author="Kaichen {Zhu} and Mohammad Reza {Mahmoodi} and Zahra {Fahimi} and Yiping {Xiao} and Tao {Wang} and Kristýna {Bukvišová} and Miroslav {Kolíbal} and Juan Bautista {Roldán} and David {Perez} and Fernando {Aguirre} and Mario {Lanza}", title="Memristors with Initial Low-Resistive State for Efficient Neuromorphic Systems", journal="Advanced Intelligent Systems", year="2022", volume="4", number="3", pages="2200001--220001", doi="10.1002/aisy.202200001", issn="2640-4567", url="https://onlinelibrary.wiley.com/doi/10.1002/aisy.202200001" }