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Showing papers by "Jai Narayan Tripathi published in 2012"


Proceedings ArticleDOI
20 May 2012
TL;DR: To maintain power integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances' peaks is presented and optimal values and locations of decoupling capacitors are obtained.
Abstract: Swarm intelligence is applied to a module of high speed system design problem. To maintain power integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances' peaks is presented. The optimal values and the optimal positions of the decoupling capacitors are found using three different swarm intelligence methods - particle swarm optimization, cuckoo search method and firefly algorithm. Optimum values and locations of decoupling capacitors are obtained, by which anti-resonances' peaks of loaded board are minimized.

10 citations


Journal ArticleDOI
TL;DR: System-level signal integrity (SI) and power integrity (PI) problems are taken into account and common problems of simulations-passivity violation, stability, causality, and interoperability are discussed.
Abstract: System-level signal integrity (SI) and power integrity (PI) problems are taken into account. System-level simulation of high-speed systems with effect of external environment is described. SI and PI issues with complete analysis of package, board, termination, squid card, and decoupling network are shown. Common problems of simulations-passivity violation, stability, causality, and interoperability, are also discussed.

8 citations


Proceedings ArticleDOI
19 Mar 2012
TL;DR: To maintain Power Integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances peaks is presented and optimum values and the optimal positions of the decoupling capacitors are found using Particle Swarm Optimization.
Abstract: To maintain Power Integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances peaks is presented. The optimum values and the optimal positions of the decoupling capacitors are found using Particle Swarm Optimization, which leads to optimum impedance of power plane loaded with decoupling capacitors. Optimum number of capacitors and their values, by which impedance of loaded board is matched below the target impedance of the system, are found.

8 citations