On BTI Aging Rejuvenation in Memory Address Decoders

Conference Paper (2022)
Author(s)

Cemil Cem Gursoy (Tallinn University of Technology)

D. Kraak (TU Delft - Computer Engineering)

F. Ahmed (Tallinn University of Technology)

M. Taouil (TU Delft - Computer Engineering)

Maksim Jenihhin (Tallinn University of Technology)

Said Hamdioui (TU Delft - Quantum & Computer Engineering)

Research Group
Computer Engineering
Copyright
© 2022 Cemil Cem Gursoy, D.H.P. Kraak, Foisal Ahmed, M. Taouil, Maksim Jenihhin, S. Hamdioui
DOI related publication
https://doi.org/10.1109/LATS57337.2022.9936940
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Cemil Cem Gursoy, D.H.P. Kraak, Foisal Ahmed, M. Taouil, Maksim Jenihhin, S. Hamdioui
Research Group
Computer Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public@en
Pages (from-to)
1-6
ISBN (print)
978-1-6654-5708-8
ISBN (electronic)
978-1-6654-5707-1
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Abstract

Memory designs require timing margins to compensate for aging and fabrication process variations. With technology downscaling, aging mechanisms became more apparent, and larger margins are considered necessary. This, in return, means a larger area requirement and lower performance for the memory. Bias Temperature Instability (BTI) is one of the main contributors to aging, which slows down transistors and ultimately causes permanent faults. In this paper, first, we propose a low-cost aging mitigation scheme, which can be applied to existing hardware to mitigate aging on memory address decoder logic. We mitigate the BTI effect on critical transistors by applying a rejuvenation workload to the memory. Such an auxiliary workload is executed periodically to rejuvenate transistors that are located on critical paths of the address decoder. Second, we analyze workloads' efficiency to optimize the mitigation scheme. Experimental results performed with realistic benchmarks demonstrate several-times lifetime extension with a negligible execution overhead.

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