NDLI: SRAM dynamic stability: Theory, variability and analysis

Content Provider	IEEE Xplore Digital Library
Author	Wei Dong Peng Li Huang, G.M.
Copyright Year	2008
Description	Author affiliation: Dept. of ECE, Texas A&M Univ., College Station, TX (Wei Dong; Peng Li; Huang, G.M.)
Abstract	Technology scaling in sub-100 nm regime has significantly shrunk the SRAM stability margins in data retention, read and write operations. Conventional static noise margins (SNMs) are unable to capture nonlinear cell dynamics and become inappropriate for state-of-the-art SRAMs with shrinking access time and/or advanced dynamic read-write-assist circuits. Using the insights gained from rigorous nonlinear system theory, we define the much needed SRAM dynamic noise margins (DNMs). The newly defined DNMs not only capture key SRAM nonlinear dynamical characteristics but also provide valuable design insights. Furthermore, we show how system theory can be exploited to develop CAD algorithms that can analyze SRAM dynamic stability characteristics three orders of magnitude faster than a brute-force approach while maintaining SPICE-level accuracy. We also demonstrate a parametric dynamic stability analysis approach suitable for low-probability cell failures, leading to three orders of magnitude runtime speedup for yield analysis under high-sigma parameter variations.
Starting Page	378
Ending Page	385
File Size	387141
Page Count	8
File Format	PDF
ISBN	9781424428199
ISSN	10923152
DOI	10.1109/ICCAD.2008.4681601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Random access memory Stability analysis Nonlinear dynamical systems Circuit noise Circuit stability Nonlinear systems Design automation Algorithm design and analysis Runtime Failure analysis
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Science Applications Software

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