Statistical static timing analysis: A survey
Autor: | Davide Pandini, Cristiano Forzan |
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Rok vydání: | 2009 |
Předmět: |
Engineering
Statistical static timing analysis Operations research Circuit design 02 engineering and technology Integrated circuit computer.software_genre 01 natural sciences law.invention law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer Aided Design System on a chip Electrical and Electronic Engineering 010302 applied physics business.industry Static timing analysis 020202 computer hardware & architecture Process variation Hardware and Architecture Probability distribution business computer Algorithm Software |
Zdroj: | Integration, the VLSI Journal |
ISSN: | 0167-9260 |
DOI: | 10.1016/j.vlsi.2008.10.002 |
Popis: | As the device and interconnect physical dimensions decrease steadily in modern nanometer silicon technologies, the ability to control the process and environmental variations is becoming more and more difficult. As a consequence, variability is a dominant factor in the design of complex system-on-chip (SoC) circuits. A solution to the problem of accurately evaluating the design performance with variability is statistical static timing analysis (SSTA). Starting from the probability distributions of the process parameters, SSTA allows to accurately estimating the probability distribution of the circuit performance in a single timing analysis run. An excellent survey on SSTA was recently published [D. Blaauw, K. Chopra, A. Srivastava, L. Scheffer, Statistical timing analysis: from basic principles to state of the art, IEEE Trans. Computer-Aided Design 27 (2008) 589-607], where the authors presented a general overview of the subject and provided a comprehensive list of references. The purpose of this survey is complementary with respect to Blaauw et al. (2008), and presents the reader a detailed description of the main sources of process variation, as well as a more in-depth review and analysis of the most important algorithms and techniques proposed in the literature that have been applied for an accurate and efficient statistical timing analysis. |
Databáze: | OpenAIRE |
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