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A probabilistic technique for full-chip leakage estimation

Published: 11 August 2008 Publication History

Abstract

In this paper, we propose a probability-based algorithm to estimate full-chip leakage without knowing layout information, under intra-die and inter-die process variations. Through modeling process variations into a random vector, we show that the standard cell leakage can be modeled as an inverse Gaussian random variable and further demonstrate that full-chip leakage can also be approximated to be an inverse Gaussian random variable. Hence, the leakage estimation problem is reduced to the estimation of the mean value and variance of the full-chip leakage. Experimental results show that the proposed algorithm is over 1000X faster than Monte Carlo simulation while the maximum estimation error is less than 6%.

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    cover image ACM Conferences
    ISLPED '08: Proceedings of the 2008 international symposium on Low Power Electronics & Design
    August 2008
    396 pages
    ISBN:9781605581095
    DOI:10.1145/1393921
    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: 11 August 2008

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    Author Tags

    1. VLSI
    2. leakage estimation

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    • (2018)Combined Analysis of Supply Voltage and Body-Bias Voltage for Energy Management2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)10.1109/PATMOS.2018.8464159(88-91)Online publication date: Jul-2018
    • (2015)Energy study for 28nm FDSOI technology2015 International Workshop on CMOS Variability (VARI)10.1109/VARI.2015.7456558(23-26)Online publication date: Sep-2015
    • (2015)Statistical energy study for 28nm FDSOI devices2015 16th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems10.1109/EuroSimE.2015.7103149(1-4)Online publication date: Apr-2015
    • (2010)Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor2010 11th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED.2010.5450547(390-398)Online publication date: Mar-2010
    • (2010)Hybrid of Job Sequencing and DVFS for Peak Temperature Reduction with Nondeterministic ApplicationsProceedings of the 2010 10th IEEE International Conference on Computer and Information Technology10.1109/CIT.2010.309(1780-1787)Online publication date: 29-Jun-2010
    • (2009)Thread criticality predictors for dynamic performance, power, and resource management in chip multiprocessorsACM SIGARCH Computer Architecture News10.1145/1555815.155579237:3(290-301)Online publication date: 20-Jun-2009
    • (2009)Thread criticality predictors for dynamic performance, power, and resource management in chip multiprocessorsProceedings of the 36th annual international symposium on Computer architecture10.1145/1555754.1555792(290-301)Online publication date: 20-Jun-2009

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