TY - GEN
T1 - Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses
AU - Sengupta, Abhronil
AU - Yogendra, Karthik
AU - Fan, Deliang
AU - Roy, Kaushik
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/7
Y1 - 2016/3/7
N2 - Non-von Neumann computing models, like Artificial and Spiking Neural Networks, inspired from the functionalities of the human brain, would require devices that can offer a direct mapping to the underlying neuroscience mechanisms for energy-efficient and compact hardware implementation. To that effect, spin-transfer torque phenomena in devices based on lateral spin valves, domain wall motion in magnets and magnetic tunnel junctions can potentially pave the way for spintronic neural computing systems, where spintronic neurons interfaced with spintronic synapses, can directly mimic biological neural and synaptic functionalities. We explore various device structures suitable for such non-Boolean functionalities and demonstrate the potential benefits of such neural computing based on arrays of magneto-metallic neurons and synapses.
AB - Non-von Neumann computing models, like Artificial and Spiking Neural Networks, inspired from the functionalities of the human brain, would require devices that can offer a direct mapping to the underlying neuroscience mechanisms for energy-efficient and compact hardware implementation. To that effect, spin-transfer torque phenomena in devices based on lateral spin valves, domain wall motion in magnets and magnetic tunnel junctions can potentially pave the way for spintronic neural computing systems, where spintronic neurons interfaced with spintronic synapses, can directly mimic biological neural and synaptic functionalities. We explore various device structures suitable for such non-Boolean functionalities and demonstrate the potential benefits of such neural computing based on arrays of magneto-metallic neurons and synapses.
UR - http://www.scopus.com/inward/record.url?scp=84996865545&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84996865545&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2016.7427998
DO - 10.1109/ASPDAC.2016.7427998
M3 - Conference contribution
AN - SCOPUS:84996865545
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 115
EP - 120
BT - 2016 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
Y2 - 25 January 2016 through 28 January 2016
ER -