Demo Data from SIGIR 2026 / reviewers in the wild / expert
Edson Luiz da Silva
dblp:69/3208
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2003
—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 |
Parallel and multicore computing · 67% High-performance computing · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing
parallel computing |
0.0 | 1 | 2003 | Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003 |
Parallel and multicore computing › parallel computing
parallel optimization |
0.0 | 1 | 2003 | Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003 |
High-performance computing
scientific computing systems |
0.0 | 1 | 2003 | Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003 |
Methods — techniques the papers use, named apart from their topics
parallel processing algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Parallel Processing Applied to the Planning of Hydrothermal SystemsabstractThe objective of the long-term operating planning problem is to determine the optimum strategy for the generation of electricity, aiming toward the minimization of total operating cost over the planning period. In a competitive electricity market, with the participation of a significant number of hydroplants, such as in Brazil, precision modelling for operating planning is required so that a better use of hydraulic resources can be obtained. We present a long-term operating planning model based on an individual power plant representation. In order to support the high computational burden, a suitable parallel processing algorithm is proposed. Edson Luiz da Silva, Erlon Cristian Finardi |
IEEE Trans. Parallel Distributed Syst. | 1 |