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GPU Accelerated Approximative Implicitization

Abstract

Recent years have shown a tremendous development in graphics processing unit(GPU) hardware. From initially being designed for discrete graphics, they arenow used in a wide area of applications, showing speed-ups of 10--50 times overtraditional CPUs. This talk discusses the use of GPUs to speed up approximativeimplicitization. Approximative implicitization is a computationally demandingalgorithm that finds the best, in a least squares sense, implicitrepresentation of a curve in 2D or surface in 3D.

Category

Academic lecture

Language

English

Author(s)

  • André R. Brodtkorb

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics

Presented at

2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling

Place

San Francisco, USA

Date

05.10.2009 - 08.10.2009

Organizer

ACM

Year

2009

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