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 conferenceObject |
URI: | http://wscg.zcu.cz/wscg2001/Papers_2001/R150.ps http://hdl.handle.net/11025/11288 |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Martinez.ps | Plný text | 7,07 MB | Postscript | View/Open |
Martinez.pdf | Plný text | 1,56 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11288
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