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Spin based neuromorphic computing
Author(s): Namita Bindal; Anant Kulkarni; Gyanendra Singh; Brajesh Kumar Kaushik
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Paper Abstract

The growth in number of transistors on a semiconductor chip has followed the Moore's law over the years and simultaneously, the size of transistor has reached equivalent to atomic size. Hence, a novel approach is needed for replacement in CMOS technology. The existing technologies are unable to meet the complex computing challenges due to their inability of inherent parallel processing and adaptability. Hence, there is a need of unconventional methodologies such as quantum computing and neuromorphic computing; and technologies like spintronics to support the realization of these methodologies. Skyrmions are the primary components of skyrmionics, the next generation of spintronics. These are the promising candidates for neuromorphic computing due to their significant features such as topological stability, low driving current density and nanoscale size. In this paper, spintronics based neuromorphic computing has been reviewed and the performance is evaluated in comparison to conventional techniques.

Paper Details

Date Published: 16 September 2019
PDF: 6 pages
Proc. SPIE 11090, Spintronics XII, 1109045 (16 September 2019); doi: 10.1117/12.2528292
Show Author Affiliations
Namita Bindal, Indian Institute of Technology Roorkee (India)
Anant Kulkarni, Indian Institute of Technology Roorkee (India)
Gyanendra Singh, Indian Institute of Technology Roorkee (India)
Brajesh Kumar Kaushik, Indian Institute of Technology Roorkee (India)


Published in SPIE Proceedings Vol. 11090:
Spintronics XII
Henri-Jean M. Drouhin; Jean-Eric Wegrowe; Manijeh Razeghi, Editor(s)

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