Boolean and Non-Boolean Computation With Spin Devices

Abstract

Recently several device and circuit design techniques have been explored for applying nano-magnets and spin torque devices like spin valves and domain wall magnets in computational hardware. However, most of them have been focused on digital logic, and, their benefits over robust and high performance CMOS remains debatable. Ultra-low voltage, current-switching operation of magneto-metallic spin torque devices can potentially be more suitable for non-Boolean computation schemes that can exploit current-mode analog processing. Device circuit co-design for different classes of non-Boolean-architectures using spin-torque based neuron models in spin-CMOS hybrid circuits show that the spin-based non-Boolean designs can achieve 15X-100X lower computation energy for applications like, image-processing, data-conversion, cognitive-computing, pattern matching and programmable-logic, as compared to state of art CMOS designs.

arXiv admin note: substantial text overlap with arXiv:1206.3227

References in corpus (3)

• Spin-Based Neuron Model with Domain Wall Magnets as Synapse
• All Spin Logic device with inbuilt Non-Reciprocity
• Ultra Low Energy Analog Image Processing Using Spin Neurons

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• Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic
• Spin switches for compact implementation of neuron and synapse
• Spintronic Switches for Ultra Low Energy On-Chip and Inter-Chip Current-Mode Interconnects