Presentation 2015-03-03
Microarchitectural-Level Statistical Timing Models for Near-Threshold Circuit Design
Jun SHIOMI, Tohru ISHIHARA, Hidetoshi ONODERA,
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Abstract(in English) Near-threshold computing has emerged as a promising solution for drastically improving the energy efficiency of microprocessors. This paper shows architectural-level statistical static timing analysis (SSTA) models for the near-threshold voltage computing where the path delay distribution is approximated as a lognormal distribution. First, we show several important theorems that help consider architectural design strategies for high performance and energy efficient near-threshold computing. After that, we show the numerical experiments with Monte Carlo simulations using a commercial 28-nm process technology model and demonstrate that the properties presented in the theorems hold for the practical near-threshold logic circuits.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Near-threshold computing / Statistical static timing analysis (SSTA)
Paper # VLD2014-172
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Committee VLD
Conference Date 2015/2/23(1days)
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Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Microarchitectural-Level Statistical Timing Models for Near-Threshold Circuit Design
Sub Title (in English)
Keyword(1) Near-threshold computing
Keyword(2) Statistical static timing analysis (SSTA)
1st Author's Name Jun SHIOMI
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Tohru ISHIHARA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Hidetoshi ONODERA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2015-03-03
Paper # VLD2014-172
Volume (vol) vol.114
Number (no) 476
Page pp.pp.-
#Pages 6
Date of Issue