Demo Data from EDBT 2026 / reviewers in the wild / expert
Pinghong Chen
dblp:92/78
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 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
1 paper |
Electronic design automation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design
floorplanning |
0.0 | 1 | 2000 | Floorplan sizing by linear programming approximation · DAC 2000 |
Electronic design automation › physical design › floorplanning
floorplan sizing |
0.0 | 1 | 2000 | Floorplan sizing by linear programming approximation · DAC 2000 |
Electronic design automation
physical design |
0.0 | 1 | 2000 | Floorplan sizing by linear programming approximation · DAC 2000 |
Methods — techniques the papers use, named apart from their topics
linear programming approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Floorplan sizing by linear programming approximationabstractIn this paper, we present an approximation algorithm by linear programming(LP) for floorplan sizing problem. Given any topological constraints between blocks, we can formulate it as an LP problem with a cost function for the minimum bounding box area. Unlike slicing structures, this approach can handle any topological constraints as well as soft/hard/preplaced blocks, and timing constraints. Empirically, our method needs few iterations to find the optimum solution and shows one order of improvement over previous methods both in run time and capability to handle a larger problem size even on a very limited computing resource PC. Pinghong Chen, Ernest S. Kuh |
DAC | 1 |