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Jun Chen

Researcher at University of California, Los Angeles

Publications -  11
Citations -  145

Jun Chen is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Switching time & Decoupling (electronics). The author has an hindex of 6, co-authored 10 publications receiving 135 citations. Previous affiliations of Jun Chen include University of Wisconsin-Madison.

Papers
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Journal ArticleDOI

Efficient In-Package Decoupling Capacitor Optimization for I/O Power Integrity

TL;DR: It is shown that impedance metric leads to large overdesign and then a noise-driven optimization algorithm for decoupling capacitors in packages for power integrity is developed and reduced by 3times and more than 10times faster even with explicit noise computation.
Journal ArticleDOI

Simultaneous shield insertion and net ordering for capacitive and inductive coupling minimization

TL;DR: This work presents an in-depth study on the automatic layout optimization of multiple nets to minimize both capacitive and inductive noise, and reveals that both optimal SINO problems are NP-hard.
Proceedings ArticleDOI

A decoupling method for analysis of coupled RLC interconnects

TL;DR: An efficient decoupling model for on-chip interconnect analysis is presented and an efficient algorithm to solve the far end responses of multiple RLC lines is proposed and developed, which gives conservative but reasonably accurate results compared to SPICE simulation.
Journal ArticleDOI

Piecewise linear model for transmission line with capacitive loading and ramp input

TL;DR: An efficient model for the far-end response of a single transmission line considering ramp input and capacitive loading and combining the PWL model and decoupling technique is presented, which obtains waveform almost perfectly matching the SPICE simulation result.
Journal ArticleDOI

Worst case crosstalk noise for nonswitching victims in high-speed buses

TL;DR: The RLC model is needed for accurate modeling of WCN in design in the multigigahertz region and a new SS + AS algorithm is proposed that has virtually the same complexity as the superposition algorithm but has a much improved accuracy.