Title :
Area minimization of power distribution network using efficient nonlinear programming techniques
Author :
Wu, Xiaohai ; Hong, Xianlong ; Cai, Yici ; Luo, Zuying ; Cheng, Chung-Kuan ; Gu, Jun ; Dai, Wayne
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fDate :
7/1/2004 12:00:00 AM
Abstract :
This paper deals with area minimization of power network for very large-scale integration designs. A new algorithm based on efficient nonlinear programming techniques is presented to solve this problem. During the optimization, a penalty method, conjugate gradient method, circuit sensitivity analysis, and merging adjoint networks are applied, which enables the algorithm to optimize large circuits. The experiment results prove that this algorithm is robust and can achieve the objective of minimizing the area of power network in a short runtime.
Keywords :
VLSI; circuit optimisation; conjugate gradient methods; minimisation; nonlinear programming; sensitivity analysis; adjoint network; area minimization; conjugate gradient method; nonlinear programming; penalty method; power distribution network; sensitivity analysis; very large-scale integration designs; Circuits; Gradient methods; Large scale integration; Merging; Minimization; Optimization methods; Power systems; Robustness; Runtime; Sensitivity analysis; Adjoint network; VLSI; penalty method; power; very large scale integration;
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TCAD.2004.829809