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Kevin Campbell

dblp:116/7943 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Rendering
global illumination
0.011999
Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999
Rendering
physically based rendering
0.011999
Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999
Parallel and multicore computing › parallelization strategies
distributed-memory parallelization
0.011999
Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs · SC 1999
Parallel and multicore computing
MPI
0.011999
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
YearPublicationVenuePosition
1999 Parallelization of Radiance For Real Time Interactive Lighting Visualization Walkthroughs
abstract
Radiance 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
SC2