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In this paper we discuss the potential of emerging spin-torque devices for computing applications. Recent proposals for spin-based computing schemes may be differentiated as all-spin? vs. hybrid, programmable vs. fixed, and, Boolean vs. non-Boolean. All-spin logic-styles may offer high area-density due to small form-factor of nano-magnetic devices. However, circuit and system-level design techniques...
In this paper we discuss the potential of emerging spin-torque devices for computing applications. Recent proposals for spin-based computing schemes may be differentiated as ‘all-spin’ vs. hybrid, programmable vs. fixed, and, Boolean vs. non-Boolean. Allspin logic-styles may offer high area-density due to small form-factor of nano-magnetic devices. However, circuit and system-level design techniques...
In this paper we discuss the potential of emerging spin-torque devices for computing applications. Recent proposals for spin-based computing schemes may be differentiated as ‘all-spin' vs. hybrid, programmable vs. fixed, and, Boolean vs. non-Boolean. Allspin logic-styles may offer high area-density due to small form-factor of nano-magnetic devices. However, circuit and system-level design techniques...
Emerging spin transfer torque (ST) devices such as lateral spin valves and domain wall magnets may lead to ultra-low-voltage, current-mode, spin-torque switches that can offer attractive computing capabilities, beyond digital switches. This paper reviews our work on ST-based non-Boolean data-processing applications, like neural-networks, which involve analog processing. Integration of such spin-torque...
While the promise of spin-torque devices for future on-chip memory is now well recognized, application of spin devices in computational hardware remains an exploratory research-domain. Several ‘all-spin’ as well as hybrid design-techniques have been explored for computing applications of nano-magnets. A majority of such efforts have been focused on digital logic design. Emerging spintronic phenomena...
CMOS Digital signal processing hardware are power efficient but consume large area, whereas, analog processing units, based on CMOS technology are compact, but power hungry. Emerging magneto-metallic spin-torque devices like domain wall magnets can however perform analog-mode computation like summation and thresholding at ultra low voltage. Such devices can be exploited in designing spin-CMOS hybrid...
In this work we present an ultra low energy, ‘on-sensor’ image processing architecture, based on cellular network of spin based neurons. The ‘neuron’ constitutes of a lateral spin valve (LSV) with multiple input magnets, connected to an output magnet, using metal channels. The low resistance, magneto-metallic neurons operate at a small terminal voltage of ∼20mV, while performing analog computation...
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