VLDB 2026 Research / reviewers in the wild / expert
David L. Brown
dblp:49/2523
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
0000-0002-9505-2959ORCID · reported
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 |
High-performance computing · 67% Parallel and multicore computing · 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 |
|---|---|---|---|---|
Parallel and multicore computing › parallel programming models and runtimes
parallel programming frameworks |
0.0 | 1 | 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing · SC 1998 |
High-performance computing › scientific computing systems
partial differential equation solver |
0.0 | 1 | 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing · SC 1998 |
High-performance computing
scientific computing systems |
0.0 | 1 | 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing · SC 1998 |
Computational science and engineering › numerical analysis
finite difference methods |
0.0 | 1 | 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing · SC 1998 |
Computational science and engineering
numerical analysis |
0.0 | 1 | 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing · SC 1998 |
Methods — techniques the papers use, named apart from their topics
finite volume · 0.0finite difference · 0.0composite overlapping grid · 0.0adaptive mesh refinement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | OVERTURE: An Object-Oriented Framework for High Performance Scientific ComputingabstractThe Overture Framework is an object-oriented environment for solving PDEs on serial and parallel architectures. It is a collection of C++ libraries that enables the use of finite difference and finite volume methods at a level that hides the details of the associated data structures, as well as the details of the parallel implementation. It is based on the A++/P++ array class library and is designed for solving problems on a structured grid or a collection of structured grids. In particular, it can use curvilinear grids, adaptive mesh refinement and the composite overlapping grid methods to represent problems with complex moving geometry. This paper introduces Overture, its motivation, and specifically the aspects of the design central to portability and high performance. In particular we focus on the mechanisms within Overture that permit a hierarchy of abstractions and those mechanisms which permit their efficiency on advanced serial and parallel architectures. We expect that these same mechanisms will become increasingly important within other object-oriented frameworks in the future. Federico Bassetti, David L. Brown, Kei Davis, William D. Henshaw, Daniel J. Quinlan |
SC | 2 |