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Robust extraction of spatial correlation

Published: 09 April 2006 Publication History

Abstract

Increased variability of process parameters and recent progress in statistical static timing analysis make extraction of statistical characteristics of process variation and spatial correlation an important yet challenging problem in modern chip designs. Unfortunately, existing approaches either focus on extraction of only a deterministic component of spatial variation or do not consider actual difficulties in computing a valid spatial correlation function and matrix, simply ignoring the fact that not every function and matrix can be used to describe the spatial correlation. Based upon the mathematical theory of random fields and convex analysis, in this paper, we develop (1) a robust technique to extract a valid spatial correlation function by solving a constrained nonlinear optimization problem; and (2) a robust technique to extract a valid spatial correlation matrix by employing a modified alternative projection algorithm.Our novel techniques guarantee to extract a valid spatial correlation function and matrix that are closest to measurement data, even if those measurements are affected by unavoidable random noises. Experiment results based upon a Monte-Carlo model confirm the accuracy and robustness of our techniques, and show that we are able to recover the correlation function and matrix with very high accuracy even in the presence of significant random noises.

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  • (2022)Common-Centroid Layout for Active and Passive Devices: A Review and the Road Ahead2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC52403.2022.9712576(114-121)Online publication date: 17-Jan-2022
  • (2021)Common-Centroid Layouts for Analog Circuits: Advantages and Limitations2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE51398.2021.9474244(1224-1229)Online publication date: 1-Feb-2021
  • (2018)Process VariationsTiming Performance of Nanometer Digital Circuits Under Process Variations10.1007/978-3-319-75465-9_3(41-69)Online publication date: 19-Apr-2018
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cover image ACM Conferences
ISPD '06: Proceedings of the 2006 international symposium on Physical design
April 2006
232 pages
ISBN:1595932992
DOI:10.1145/1123008
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 April 2006

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Author Tags

  1. extraction
  2. process variation
  3. robust extraction
  4. spatial correlation

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ISPD06
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ISPD06: International Symposium on Physical Design 2006
April 9 - 12, 2006
California, San Jose, USA

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Overall Acceptance Rate 62 of 172 submissions, 36%

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Cited By

View all
  • (2022)Common-Centroid Layout for Active and Passive Devices: A Review and the Road Ahead2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC52403.2022.9712576(114-121)Online publication date: 17-Jan-2022
  • (2021)Common-Centroid Layouts for Analog Circuits: Advantages and Limitations2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE51398.2021.9474244(1224-1229)Online publication date: 1-Feb-2021
  • (2018)Process VariationsTiming Performance of Nanometer Digital Circuits Under Process Variations10.1007/978-3-319-75465-9_3(41-69)Online publication date: 19-Apr-2018
  • (2016)Statistical methodology to identify optimal placement of on-chip process monitors for predicting fmax2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)10.1145/2966986.2967076(1-8)Online publication date: 7-Nov-2016
  • (2016)Hierarchical Statistical Leakage Analysis and Its ApplicationACM Transactions on Design Automation of Electronic Systems10.1145/289682021:4(1-22)Online publication date: 2-Sep-2016
  • (2015)A New Uncertainty Budgeting-Based Method for Robust Analog/Mixed-Signal DesignACM Transactions on Design Automation of Electronic Systems10.1145/277895921:1(1-25)Online publication date: 2-Dec-2015
  • (2015)Dynamic Statistical-Timing-Analysis-Based VLSI Path Delay Test Pattern GenerationIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2014.235293723:9(1577-1590)Online publication date: Sep-2015
  • (2015)Reducing random-dopant fluctuation impact using footer transistors in many-core systemsIntegration, the VLSI Journal10.1016/j.vlsi.2014.06.00548:C(46-54)Online publication date: 1-Jan-2015
  • (2014)Robust Optimization for Gate Sizing Considering Non-Gaussian Local VariationsApplied Mathematics10.4236/am.2014.51624505:16(2558-2569)Online publication date: 2014
  • (2014)A New Spatial Correlation Model Based on the Distributed RC- ModelAdvanced Materials Research10.4028/www.scientific.net/AMR.989-994.2204989-994(2204-2207)Online publication date: Jul-2014
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