Demo Data from EDBT 2026 / reviewers in the wild / expert
Kevin Campbell
dblp:116/7943
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
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 graphics and multimedia
1 paper |
Rendering · 87% Computer animation and physical simulation · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
global illumination |
0.0 | 1 | 1999 | Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999 |
Rendering
physically based rendering |
0.0 | 1 | 1999 | Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999 |
Parallel and multicore computing › parallelization strategies
distributed-memory parallelization |
0.0 | 1 | 1999 | Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999 |
Parallel and multicore computing
MPI |
0.0 | 1 | 1999 | Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999 |
Methods — techniques the papers use, named apart from their topics
point cloud reuse · 0.0MPI · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Parallelization of Radiance For Real Time Interactive Lighting Visualization WalkthroughsabstractRadiance is a software package developed at Lawrence Berkeley National Laboratory for lighting visualization. Lighting visualization predicts how lighting would appear if a modelled scene were to be physically realized. Unlike most lighting systems, Radiance physically models the effects of lighting, providing an image that is closer to physical reality. This is of obvious benefit to architects and lighting designers. Such visualizations are computationally expensive: rendering a single image can take hours on a standard workstation environment. Ideally, an architect would like to be able to interactively navigate through a scene to get a full impression of the true appearance of a particular model. With this goal in mind, we have (1) developed a geometric-based method (point cloud) to reuse pixels from a previous frame and (2) developed a parallel, distributed memory implementation of Radiance and the point cloud using MPI for inter-processor communication. Kevin Campbell, Stephen Lau, Terry J. Ligocki |
SC | 2 |