Memristor-Based Synaptic Sampling Machines

I. Dolzhikova; K. Salama; V. Kizheppatt; Alex James Pappachen

doi:10.1109/NANO.2018.8626382

Memristor-Based Synaptic Sampling Machines

I. Dolzhikova, K. Salama, V. Kizheppatt, Alex James Pappachen

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Synaptic Sampling Machine (SSM) is a type of neural network model that considers biological unreliability of the synapses. We propose the circuit design of the SSM neural network which is realized through the memristive-CMOS crossbar structure with the synaptic sampling cell (SSC) being used as a basic stochastic unit. The increase in the edge computing devices in the Internet of things era, drives the need for hardware acceleration for data processing and computing. The computational considerations of the processing speed and possibility for the real-time realization pushes the synaptic sampling algorithm that demonstrated promising results on software for hardware implementation.

Original language	English
Title of host publication	18th International Conference on Nanotechnology, NANO 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538653364
DOIs	https://doi.org/10.1109/NANO.2018.8626382
Publication status	Published - Jan 24 2019
Event	18th International Conference on Nanotechnology, NANO 2018 - Cork, Ireland Duration: Jul 23 2018 → Jul 26 2018

Publication series

Name	Proceedings of the IEEE Conference on Nanotechnology
Volume	2018-July
ISSN (Print)	1944-9399
ISSN (Electronic)	1944-9380

Conference

Conference	18th International Conference on Nanotechnology, NANO 2018
Country	Ireland
City	Cork
Period	7/23/18 → 7/26/18

ASJC Scopus subject areas

Bioengineering
Electrical and Electronic Engineering
Materials Chemistry
Condensed Matter Physics

Access to Document

10.1109/NANO.2018.8626382

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Memristor-Based Synaptic Sampling Machines. / Dolzhikova, I.; Salama, K.; Kizheppatt, V.; James Pappachen, Alex.

18th International Conference on Nanotechnology, NANO 2018. IEEE Computer Society, 2019. 8626382 (Proceedings of the IEEE Conference on Nanotechnology; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dolzhikova, I, Salama, K, Kizheppatt, V & James Pappachen, A 2019, Memristor-Based Synaptic Sampling Machines. in 18th International Conference on Nanotechnology, NANO 2018., 8626382, Proceedings of the IEEE Conference on Nanotechnology, vol. 2018-July, IEEE Computer Society, 18th International Conference on Nanotechnology, NANO 2018, Cork, Ireland, 7/23/18. https://doi.org/10.1109/NANO.2018.8626382

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