Thermal Expansion and Aging Effects in Neuromorphic Signal Processor

A. Zjajo; R. van Leuken

doi:10.1109/inec.2016.7589259

Thermal Expansion and Aging Effects in Neuromorphic Signal Processor

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

32 Downloads (Pure)

Abstract

In this paper, we propose an efficient methodology based on a real-time estimator and predictor-corrector scheme for accurate thermal expansion profile and aging evaluation of a neuromorphic signal processor circuit components. As the experimental results indicate, for comparable mesh size, the proposed method is 1~2 order of magnitude more accurate than corresponding, generalized finite element method.

Original language	English
Title of host publication	2016 IEEE International Nanoelectronics Conference (INEC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-2
Number of pages	2
ISBN (Electronic)	978-1-4673-8969-3
DOIs	https://doi.org/10.1109/inec.2016.7589259
Publication status	Published - 13 Oct 2016
Event	2016 IEEE International Nanoelectronics Conference - Chengdu, China Duration: 9 May 2016 → 11 May 2016 http://www.inec2016.com/

Conference

Conference	2016 IEEE International Nanoelectronics Conference
Abbreviated title	INEC
Country/Territory	China
City	Chengdu
Period	9/05/16 → 11/05/16
Internet address	http://www.inec2016.com/

Keywords

Neuromorphics
Aging
Thermal resistance
Thermal expansion
Integrated circuit modeling
Finite element analysis
Semiconductor device modeling

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10.1109/inec.2016.7589259

zjajo2016thermalAccepted author manuscript, 344 KB

Cite this

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abstract = "In this paper, we propose an efficient methodology based on a real-time estimator and predictor-corrector scheme for accurate thermal expansion profile and aging evaluation of a neuromorphic signal processor circuit components. As the experimental results indicate, for comparable mesh size, the proposed method is 1~2 order of magnitude more accurate than corresponding, generalized finite element method.",

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AB - In this paper, we propose an efficient methodology based on a real-time estimator and predictor-corrector scheme for accurate thermal expansion profile and aging evaluation of a neuromorphic signal processor circuit components. As the experimental results indicate, for comparable mesh size, the proposed method is 1~2 order of magnitude more accurate than corresponding, generalized finite element method.

KW - Neuromorphics

KW - Aging

KW - Thermal resistance

KW - Thermal expansion

KW - Integrated circuit modeling

KW - Finite element analysis

KW - Semiconductor device modeling

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M3 - Conference contribution

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BT - 2016 IEEE International Nanoelectronics Conference (INEC)

PB - IEEE

CY - Piscataway, NJ

T2 - 2016 IEEE International Nanoelectronics Conference

Y2 - 9 May 2016 through 11 May 2016

ER -

Thermal Expansion and Aging Effects in Neuromorphic Signal Processor

Abstract

Conference

Keywords

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