Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Power supply noise analysis methodology for deep-submicron VLSI chip design
DAC '97 Proceedings of the 34th annual Design Automation Conference
Design and analysis of power distribution networks in PowerPC microprocessors
DAC '98 Proceedings of the 35th annual Design Automation Conference
Full-chip verification methods for DSM power distribution systems
DAC '98 Proceedings of the 35th annual Design Automation Conference
Hierarchical analysis of power distribution networks
Proceedings of the 37th Annual Design Automation Conference
Proceedings of the 37th Annual Design Automation Conference
Efficient inductance extraction via windowing
Proceedings of the conference on Design, automation and test in Europe
Efficient large-scale power grid analysis based on preconditioned krylov-subspace iterative methods
Proceedings of the 38th annual Design Automation Conference
How to efficiently capture on-chip inductance effects: introducing a new circuit element K
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Fast analysis and optimization of power/ground networks
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Frequency domain analysis of switching noise on power supply network
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses
Proceedings of the conference on Design, automation and test in Europe
SPICE compatible circuit models for partial reluctance K
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Journal of Computer Science and Technology
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In this paper we propose a novel and efficient methodology for modeling and analysis of regular symmetrically-structured power/ ground distribution networks. The modeling of inductive effects is simplified by a folding technique which exploits the symmetry in the power/ground distribution. Furthermore, employment of susceptance [10,11] (inverse of inductance) models enables further simplification of the analysis, and is also shown to preserve the symmetric positive definiteness of the circuit equations. Experimental results demonstrate that our approach can provide up to 8x memory savings and up to10x speedup over the already efficient simulation based on the original sparse susceptance matrix without loss of accuracy. Importantly, this work demonstrates that by employing limited regularity, one can create excellent power/ground distribution designs that are dramatically simpler to analyze, and therefore amenable to more powerful global design optimization.