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Min-Siang Lin

dblp:88/3794 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1991
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 first-author

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
2 papers
Electronic design automation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design › routing › channel routing
channel density reduction
0.021991
Channel density reduction by routing over the cells · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Channel Density Reduction by Routing Over The Cells · DAC 1991
Electronic design automation › physical design › routing
channel routing
0.021991
Channel density reduction by routing over the cells · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Channel Density Reduction by Routing Over The Cells · DAC 1991
Electronic design automation
physical design
0.021991
Channel density reduction by routing over the cells · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Channel Density Reduction by Routing Over The Cells · DAC 1991
Electronic design automation › physical design › routing › channel routing
over-the-cell routing
0.021991
Channel density reduction by routing over the cells · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991
Channel Density Reduction by Routing Over The Cells · DAC 1991
Electronic design automation › physical design
routing
0.011991
Channel density reduction by routing over the cells · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1991

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

integer linear programming · 0.0bipartite graph · 0.0constrained covering · 0.0
YearPublicationVenuePosition
1991 Channel Density Reduction by Routing Over The Cells
abstract
We propose a new approach for reducing the density of a channel by routing some nets (or subnets) over the cells (i.e.outside the channel).Previous research assumed that the more nets being routed over the cells the greater the reduction in the channel density.We show that only the removal of critical nets contributes to the reduction in the channel density.We divide channel into zones where each zone has a zone density and the removal of any net from a zone will reduce its density by one.In order to reduce the channel density, only certain critical zones need to have their nets routed over the cells.A bipwtite graph is used to represent the relationship between nets and zones.The problem is transformed into a constrained covering problem and formulated as an integer liiear programming problem.In comparison with previous research our approach reduces more channel densities while using fewer tracks over the cells.For Deutsch's difficult channel, previous approach needs 15 &acks over the cells to reduce the channel density by 3 while we need only 5 tracks to achieve the same result.
Min-Siang Lin, Hourng-Wern Perng, Chi-Yi Hwang, Youn-Long Lin
DAC1
1991 Channel density reduction by routing over the cells
abstract
An approach for reducing the density of a channel by routing some nets (or subnets) over the cells (i.e., outside the channel) is proposed. It is shown that only the removal of critical nets contributes to the reduction in the channel density. The channel is divided into zones, each having a zone density where the removal of any net from a zone will reduce its density by one. To reduce the channel density, only certain critical zones need to have their nets routed over the cells. A bipartite graph is used to represent the relationship between nets and zones. The problem is transformed into a constrained covering problem and formulated as an integer linear programming problem. Compared to previous research, the approach reduces more channel densities while using fewer tracks over the cells. For Deutsch's difficult channel, a previous approach needs 15 tracks over the cells to reduce the channel density by 3, whereas the present needs only 5 tracks to achieve the same result. >
Min-Siang Lin, Hourng-Wern Perng, Chi-Yi Hwang, Youn-Long Lin
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1