A Fast Decoupling Capacitor Budgeting Algorithm for Robust On-Chip Power Delivery

Jingjing FU; Zuying LUO; Xianlong HONG; Yici CAI; Sheldon X.-D. TAN; Zhu PAN

A Fast Decoupling Capacitor Budgeting Algorithm for Robust On-Chip Power Delivery

Jingjing FU, Zuying LUO, Xianlong HONG, Yici CAI, Sheldon X.-D. TAN, Zhu PAN

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In this paper, we present an efficient method to budget on-chip decoupling capacitors (decaps) to optimize power delivery networks in an area efficient way. Our algorithm is based on an efficient gradient-based non-linear programming method for searching the solution. Our contributions are an efficient gradient computation method (time-domain merged adjoint network method) and a novel equivalent circuit modeling technique to speed up the optimization process. Experimental results demonstrate that the algorithm is capable of efficiently optimizing very large scale P/G networks.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.12 pp.3273-3280

Publication Date: 2004/12/01

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Type of Manuscript: Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)

Category: Physical Design

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Jingjing FU, Zuying LUO, Xianlong HONG, Yici CAI, Sheldon X.-D. TAN, Zhu PAN, "A Fast Decoupling Capacitor Budgeting Algorithm for Robust On-Chip Power Delivery" in IEICE TRANSACTIONS on Fundamentals, vol. E87-A, no. 12, pp. 3273-3280, December 2004, doi: .
Abstract: In this paper, we present an efficient method to budget on-chip decoupling capacitors (decaps) to optimize power delivery networks in an area efficient way. Our algorithm is based on an efficient gradient-based non-linear programming method for searching the solution. Our contributions are an efficient gradient computation method (time-domain merged adjoint network method) and a novel equivalent circuit modeling technique to speed up the optimization process. Experimental results demonstrate that the algorithm is capable of efficiently optimizing very large scale P/G networks.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e87-a_12_3273/_p

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@ARTICLE{e87-a_12_3273,
author={Jingjing FU, Zuying LUO, Xianlong HONG, Yici CAI, Sheldon X.-D. TAN, Zhu PAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Decoupling Capacitor Budgeting Algorithm for Robust On-Chip Power Delivery},
year={2004},
volume={E87-A},
number={12},
pages={3273-3280},
abstract={In this paper, we present an efficient method to budget on-chip decoupling capacitors (decaps) to optimize power delivery networks in an area efficient way. Our algorithm is based on an efficient gradient-based non-linear programming method for searching the solution. Our contributions are an efficient gradient computation method (time-domain merged adjoint network method) and a novel equivalent circuit modeling technique to speed up the optimization process. Experimental results demonstrate that the algorithm is capable of efficiently optimizing very large scale P/G networks.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - A Fast Decoupling Capacitor Budgeting Algorithm for Robust On-Chip Power Delivery
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3273
EP - 3280
AU - Jingjing FU
AU - Zuying LUO
AU - Xianlong HONG
AU - Yici CAI
AU - Sheldon X.-D. TAN
AU - Zhu PAN
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2004
AB - In this paper, we present an efficient method to budget on-chip decoupling capacitors (decaps) to optimize power delivery networks in an area efficient way. Our algorithm is based on an efficient gradient-based non-linear programming method for searching the solution. Our contributions are an efficient gradient computation method (time-domain merged adjoint network method) and a novel equivalent circuit modeling technique to speed up the optimization process. Experimental results demonstrate that the algorithm is capable of efficiently optimizing very large scale P/G networks.
ER -