Power supply noise analysis methodology for deep-submicron VLSI chip design
DAC '97 Proceedings of the 34th annual Design Automation Conference
An algorithm for optimal decoupling capacitor sizing and placement for standard cell layouts
Proceedings of the 2002 international symposium on Physical design
On-chip power supply network optimization using multigrid-based technique
Proceedings of the 40th annual Design Automation Conference
Power grid physics and implications for CAD
Proceedings of the 43rd annual Design Automation Conference
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
Proceedings of the 43rd annual Design Automation Conference
Fast Decoupling Capacitor Budgeting for Power/Ground Network Using Random Walk Approach
ASP-DAC '07 Proceedings of the 2007 Asia and South Pacific Design Automation Conference
Decoupling capacitance allocation and its application to power-supply noise-aware floorplanning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Optimal decoupling capacitor sizing and placement for standard-cell layout designs
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Partitioning-Based Approach to Fast On-Chip Decoupling Capacitor Budgeting and Minimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Decoupling capacitance efficient placement for reducing transient power supply noise
Proceedings of the 2009 International Conference on Computer-Aided Design
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This paper proposes an efficient decoupling (decaps) capacitance optimization algorithm to reduce the voltage noise of on-chip power grid networks. The new method is based on the efficient charge formulation of the decap allocation problem. But different from the existing work [12], the new method applies the more accurate piecewise polynomial micromodels to estimate the voltage noises during the linear programming process. The resulting method overcomes the over-estimation problem, which plagues the existing method. The proposed method has the best of two worlds: it has the efficiency of the charge-based methods and the accuracy of the sensitivity-based methods. Experimental results demonstrate that the proposed method leads to the decap values similar to that of the sensitivity-based methods, which give the best reported results and are much better than the existing charge-based method, and at the same time, it enjoys the similar efficiency of the charge-based method.