Title: Parallel Implementation of Stochastic Iteration Algorithms
Authors: Martínez, Roel
Szirmay-Kalos, László
Sbert, Mateu
Abbas, Ali Mohamed
Citation: WSCG '2001: Conference proceedings: The 9-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001: University of West Bohemia, Plzen, Czech Republic, February 5.-9., 2001, p. 344-351
Issue Date: 2001
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2001/Papers_2001/R150.ps
ISBN: 80-7082-713-0
ISSN: 1213-6972
Keywords: globální osvětlení;paralelní výpočty;Monte Carlo;radiozita
Keywords in different language: global illumination;parallel computing;Monte Carlo;radiosity
Abstract: The paper examines the parallel implementation of iteration type global illumination al-gorithms. The steps of iteration depend on each other, thus their parallel implementation is not as straightforward as for random walks. This paper solves the interdependency problem by applying stochastic iteration. In this framework two fundamental questions are investigated: how many processors can be efficiently used in an algorithm and how often the processors should exchange their information. These questions are answered by a theoretical model and also by simulations.
Rights: © University of West Bohemia
Appears in Collections:WSCG '2001: Conference proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11288

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