Demo Data from EDBT 2026 / reviewers in the wild / expert
Tobias Werner 0001
dblp:127/7718-1
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design › cell layout
cell layout generation |
0.4 | 1 | 2020 | BonnCell: Automatic Cell Layout in the 7-nm Era · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Electronic design automation › physical design › lithography
multiple patterning lithography |
0.4 | 1 | 2020 | BonnCell: Automatic Cell Layout in the 7-nm Era · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Electronic design automation
physical design |
0.4 | 1 | 2020 | BonnCell: Automatic Cell Layout in the 7-nm Era · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Methods — techniques the papers use, named apart from their topics
mixed integer programming · 0.4global optimization · 0.4detailed routing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | BonnCell: Automatic Cell Layout in the 7-nm EraabstractMultipatterning technology used in 7-nm technology and beyond imposes more and more complex design rules on the layout of cells. The often nonlocal nature of these new design rules is a great challenge not only for human designers but also for existing algorithms. We present a new flow for automatic cell layout generation that is able to deal with these challenges by globally optimizing several design objectives simultaneously. Our transistor placement algorithm not only minimizes the total cell area but at the same time guarantees the routability of the cell and finds a best arrangement and folding of the transistors. Our routing engine computes a detailed routing of all nets simultaneously. It computes a netlength optimal routing using a mixed-integer programming formulation. Additional DFM constraints are added to this model to improve yield and reduce chip manufacturing costs. We present experimental results on current 7-nm designs. Our approach allows to compute optimized layouts within a few minutes, even for large complex cells. The algorithms are used for the design of logic cells compatible with a published 7-nm technology from a leading chip manufacturer where they meet manufacturability requirements and significantly reduced design turn around times. Pascal Van Cleeff, Stefan Hougardy, Jannik Silvanus, Tobias Werner 0001 |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 4 |