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Andrew D. Huber

Researcher at IBM

Publications -  10
Citations -  229

Andrew D. Huber is an academic researcher from IBM. The author has contributed to research in topics: Routing (electronic design automation) & Physical design. The author has an hindex of 6, co-authored 10 publications receiving 214 citations.

Papers
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Proceedings ArticleDOI

GLARE: global and local wiring aware routability evaluation

TL;DR: It is empirically demonstrates that incorporating the proposed solutions within a global routing based congestion analyzer yields a more accurate view of design routability.
Proceedings ArticleDOI

New placement prediction and mitigation techniques for local routing congestion

TL;DR: This work models routing congestion at the placement level in order to apply local congestion mitigation and proposes a local congestion metric that computes a “routing-difficulty” score for every cell in the design library.
Patent

Method of automated design and checking for ESD robustness

TL;DR: In this paper, a multi-supply protect device (ESDxx) coupled between pairs of supplies and ground or to return lines is also included to provide adequate ESD protection.
Patent

Method of wiring power service terminals to a power network in a semiconductor integrated circuit

TL;DR: Disclosed as mentioned in this paper is a method of routing power from a power network to one or more power service terminals within a voltage island, comprising: dividing the power network into segments; creating power service terminal to segment connections based on a first set of criteria; removing selected power service node to segment connection; and selecting one power service Node to segment node connection for each node.
Journal ArticleDOI

Techniques for scalable and effective routability evaluation

TL;DR: This article proposes three approaches to model local routing resources and proposes a smoothing technique to reduce the number of noisy hotspots and obtain a more accurate routability evaluation result and develops a new metric which represents congestion maps with higher fidelity.