Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/156218
Title: SPINTASTIC: Spin-based Stochastic Logic for Energy-efficient Computing
Authors: Venkatesan, Rangharajan
Venkataramani, Swagath
Fong, Xuanyao 
Roy, Kaushik
Raghunathan, Anand
Keywords: Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Software Engineering
Engineering, Electrical & Electronic
Computer Science
Engineering
COMPUTATION
Issue Date: 1-Jan-2015
Publisher: IEEE
Citation: Venkatesan, Rangharajan, Venkataramani, Swagath, Fong, Xuanyao, Roy, Kaushik, Raghunathan, Anand (2015-01-01). SPINTASTIC: Spin-based Stochastic Logic for Energy-efficient Computing. Conference on Design Automation Test in Europe (DATE) 2015-April : 1575-1578. ScholarBank@NUS Repository.
Abstract: © 2015 EDAA. Spintronics is one of the leading technologies under consideration for the post-CMOS era. While spintronic memories have demonstrated great promise due to their density, non-volatility and low leakage, efforts to realize spintronic logic have been much less fruitful. Recent studies project the performance and energy efficiency of spintronic logic to be considerably inferior to CMOS. In this work, we explore Stochastic Computing (SC) as a new direction for the realization of energy-efficient logic using spintronic devices. We establish the synergy between stochastic computing and spintronics by demonstrating that (i) the peripheral circuits required for SC to convert to/from stochastic domains, which incur significant energy overheads in CMOS, can be efficiently realized by exploiting the characteristics of spintronic devices, and (ii) the low logic complexity and finegrained parallelism in SC circuits can be leveraged to alleviate the shortcomings of spintronic logic. We propose Spintastic, a new design approach in which all the components of stochastic circuits - stochastic number generators, stochastic arithmetic units, and stochastic-to-binary converters - are realized using spintronic devices. Our experiments on a range of benchmarks from different application domains demonstrate that Spintastic achieves 2.8X improvement in energy over CMOS stochastic implementations and 1.9X over a CMOS binary baseline.
Source Title: Conference on Design Automation Test in Europe (DATE)
URI: https://scholarbank.nus.edu.sg/handle/10635/156218
ISBN: 9783981537048
ISSN: 1530-1591
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