NDLI: Exploring Boolean and non-Boolean computing with spin torque devices

Content Provider	IEEE Xplore Digital Library
Author	Roy, K. Sharad, M. Deliang Fan Yogendra, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA (Roy, K.; Sharad, M.; Deliang Fan; Yogendra, K.)
Abstract	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 need to be explored that leaverage the specific spin-device characterisitcs to achieve energy-efficiency, performance and reliability comparable to those of CMOS. The non-volatility of nano-magnets can be exploited in the design of energy and area-efficient programmable logic. In such logic-styles, spin-devices may play the dual-role of computing as well as memory-elements that provide field-programmability. Spin-based threshold logic design is presented as an example. Emerging spintronic phenomena may lead to ultra-low-voltage, current-mode, spin-torque switches that can offer attractive computing capabilities, beyond digital switches. Such devices may be suitable for non-Boolean data-processing applications which involve analog processing. Integration of such spin-torque devices with charge-based devices like CMOS and resistive memory can lead to highly energy-efficient information processing hardware for applicatons like pattern-matching, neuromorphic-computing, image-processing and data-conversion. Towards the end, we discuss the possibility of applying emerging spin-torque switches in the design of energy-efficient global interconnects, for future chip multiprocessors.
Sponsorship	IEEE Counc. Electron. Design Autom.
Starting Page	576
Ending Page	580
File Size	3218160
Page Count	5
File Format	PDF
ISBN	9781479910717
ISSN	10923152
DOI	10.1109/ICCAD.2013.6691174
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CMOS integrated circuits Neurons Magnetic domains Magnetic tunneling Magnetic domain walls Integrated circuit interconnections Energy efficiency interconnect spin logic low power threshold logic analog neural networks non-Boolean programmable logic array
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Science Applications Software

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