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research-article

Cellular neural networks for image analysis using steep slope devices

Authors:

Indranil Palit,

Michael Niemier,

Behnam Sedighi,

X. Sharon HuAuthors Info & Claims

ICCAD '14: Proceedings of the 2014 IEEE/ACM International Conference on Computer-Aided Design

Pages 92 - 95

Published: 03 November 2014 Publication History

Abstract

Traditional CMOS based von Neumann architectures face daunting challenges in performing complex computational tasks at high speed and with low power on spatio-temporal data, e.g., image processing, pattern recognition, etc. In this study, we discuss the utilities of various steep slope, beyond-CMOS emerging devices for image processing applications within the non-von Neumann computing paradigm of cellular neural networks (CNNs). In general, the steep subthreshold swing of the devices obviates the output transfer hardware used in a conventional CNN cell. For image processing with binary stable outputs, Tunnelling FETs (TFETs) can facilitate low power operation. For multi-valued problems, devices like graphene transistors, Symmetric tunnelling FETs (SymFETs) might be leveraged to solve a problem with fewer computational steps. The potential for additional hardware reduction when compared to functional equivalents via conventional CNNs is also possible. Emerging devices can also lead to lower power implementations of the voltage controlled current sources (VCCSs) that are an integral component of any CNN cell. Furthermore, non-linear implementations of the VCCSs via emerging devices could enable simpler computational paths for many image processing tasks.

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Cited By

Yin XSedighi BNiemier MHu XFanucci LTeich J(2016)Design of latches and flip-flops using emerging tunneling devicesProceedings of the 2016 Conference on Design, Automation & Test in Europe10.5555/2971808.2971892(367-372)Online publication date: 14-Mar-2016
https://dl.acm.org/doi/10.5555/2971808.2971892
Palit ILou QAcampora NNahas JNiemier MHu XMarculescu DLiu F(2015)Analytically Modeling Power and Performance of a CNN SystemProceedings of the IEEE/ACM International Conference on Computer-Aided Design10.5555/2840819.2840847(186-193)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.5555/2840819.2840847
Lou QPalit IHorvath AHu XNiemier MNahas JJones ALi HCoskun AMargala M(2015)TFET-based Operational Transconductance Amplifier Design for CNN SystemsProceedings of the 25th edition on Great Lakes Symposium on VLSI10.1145/2742060.2742089(277-282)Online publication date: 20-May-2015
https://dl.acm.org/doi/10.1145/2742060.2742089

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Information & Contributors

Information

Published In

cover image ACM Conferences

ICCAD '14: Proceedings of the 2014 IEEE/ACM International Conference on Computer-Aided Design

November 2014

801 pages

ISBN:9781479962778

General Chair:
Yao-Wen Chang
National Taiwan Univ., Taipei, Taiwan

Sponsors

CEDA: Council on Electronic Design Automation
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
IEEE CAS

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IEEE SSCS Shanghai Chapter
IEEE-EDS: Electronic Devices Society

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IEEE Press

Publication History

Published: 03 November 2014

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ICCAD '14

Sponsor:

CEDA
ACM
SIGDA

ICCAD '14: IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN

November 3 - 6, 2014

California, San Jose

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Overall Acceptance Rate 457 of 1,762 submissions, 26%

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Cited By

Yin XSedighi BNiemier MHu XFanucci LTeich J(2016)Design of latches and flip-flops using emerging tunneling devicesProceedings of the 2016 Conference on Design, Automation & Test in Europe10.5555/2971808.2971892(367-372)Online publication date: 14-Mar-2016
https://dl.acm.org/doi/10.5555/2971808.2971892
Palit ILou QAcampora NNahas JNiemier MHu XMarculescu DLiu F(2015)Analytically Modeling Power and Performance of a CNN SystemProceedings of the IEEE/ACM International Conference on Computer-Aided Design10.5555/2840819.2840847(186-193)Online publication date: 2-Nov-2015
https://dl.acm.org/doi/10.5555/2840819.2840847
Lou QPalit IHorvath AHu XNiemier MNahas JJones ALi HCoskun AMargala M(2015)TFET-based Operational Transconductance Amplifier Design for CNN SystemsProceedings of the 25th edition on Great Lakes Symposium on VLSI10.1145/2742060.2742089(277-282)Online publication date: 20-May-2015
https://dl.acm.org/doi/10.1145/2742060.2742089

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