Demo Data from EDBT 2026 / reviewers in the wild / expert
Dan Burke
dblp:132/8827
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 |
Energy-efficient computing · 67% Electronic design automation · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation
circuit simulation |
0.2 | 1 | 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction Techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Energy-efficient computing › thermal modeling
compact thermal model |
0.2 | 1 | 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction Techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Energy-efficient computing
thermal modeling |
0.2 | 1 | 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction Techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Computational science and engineering › numerical analysis
model reduction |
0.0 | 1 | 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction Techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Computational science and engineering
numerical analysis |
0.0 | 1 | 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction Techniques · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013 |
Methods — techniques the papers use, named apart from their topics
krylov subspace model reduction · 0.3finite cloud method · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Thermal Models for Optical Circuit Simulation Using a Finite Cloud Method and Model Reduction TechniquesabstractThis paper presents a procedure for the creation of versatile and powerful thermal compact models of integrated optical devices and demonstrates their use in an optical circuit level simulator. A detailed 3-D model of the device is first built using a meshless finite cloud method, producing a large linear sparse set of equations. This model is then reduced to a compact representation using a Krylov subspace model reduction (MR) technique. Such a reduced model is described by small dense matrices, but can reproduce the original temperature distribution within acceptable error. Three devices are used as demonstration models for the technique: a microdisc laser and two microring-based devices, a modulator, and an optical switch. All three devices are built in a silicon on oxide platform. Using MR the linear systems describing these models are reduced from thousands of unknowns to systems with less than 100 reduced variables. It is then demonstrated how the reduced compact models can be linked together to describe a complete optical system with solution errors of lower than 1%. Finally, it is shown how this reduced thermal model can be utilized in a circuit level opto-electronic circuit simulator and simulations are presented, demonstrating the effectiveness of the reduced models in speeding up simulation times or enabling otherwise intractable problems. Dan Burke, Tom J. Smy |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 1 |