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Chunlei Chu

dblp:01/8314 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design › routing
global routing
0.112010
Global routing and track assignment for flip-chip designs · DAC 2010
Electronic design automation › physical design › routing › multilayer routing
layer assignment
0.112010
Global routing and track assignment for flip-chip designs · DAC 2010
Electronic design automation
physical design
0.112010
Global routing and track assignment for flip-chip designs · DAC 2010

Methods — techniques the papers use, named apart from their topics

voronoi diagram · 0.1network flow algorithm · 0.1
YearPublicationVenuePosition
2010 Global routing and track assignment for flip-chip designs
abstract
This paper describes a solution for global routing and track assignment of flip-chip I/O nets. Voronoi Diagram (VD) is used to partition the open routing space and the geometrical properties of VD graph are exploited to create global routing channels with capacity and congestion considerations. A network flow algorithm is used to achieve optimal global routing. The regularity of the flip-chip bump placement is observed and allows us to reduce the size of global routing channel graph by over 50% to speed up computation. A track assignment algorithm avoids crossing wires before completing the final route with a detailed router. Experiment results using actual silicon chip data demonstrate that our solution achieves good quality of results compared to an implementation used in a commercial tool.
Xiaodong Liu 0018, Gary K. Yeap, Chunlei Chu, Jian Sun 0005, Xuan Zeng 0001
DAC4