Parallel convex hull computation by generalised regular sampling
UNSPECIFIED (2002) Parallel convex hull computation by generalised regular sampling. In: 8th International Euro-Par Conference on Parallel Processing, AUG 27-30, 2002, PADERBORN, GERMANY.Full text not available from this repository.
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose parallel computing. We propose the first optimal deterministic BSP algorithm for computing the convex hull of a set of points in three-dimensional Euclidean space. Our algorithm is based on known fundamental results from combinatorial geometry, concerning small-sized, efficiently constructible e-nets and c-approximations of a given point set. The algorithm generalises the technique of regular sampling, used previously for sorting and two-dimensional convex hull computation. The cost of the simple algorithm is optimal only for extremely large inputs; we show how to reduce the required input size by applying regular sampling in a multi-level fashion.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Series Name:||LECTURE NOTES IN COMPUTER SCIENCE|
|Journal or Publication Title:||EURO-PAR 2002 PARALLEL PROCESSING, PROCEEDINGS|
|Editor:||Monien, B and Feldmann, R|
|Number of Pages:||8|
|Page Range:||pp. 392-399|
|Title of Event:||8th International Euro-Par Conference on Parallel Processing|
|Location of Event:||PADERBORN, GERMANY|
|Date(s) of Event:||AUG 27-30, 2002|
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