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  Improving the Design of Parallel Applications using Statistical Methods
 
 
Titel: Improving the Design of Parallel Applications using Statistical Methods
Auteur: C.M. Amarandei
D. Lepadatu
S. Caraiman
Verschenen in: Journal of applied sciences
Paginering: Jaargang 11 (2011) nr. 6 pagina's 932-942
Jaar: 2011
Inhoud: The aim of this study is to analyze data produced by a parallel application using statistical investigation methods like design of experiments to determine faults in the design or implementation of the application. Using this technique we develop a model to verify the design of a parallel application by determining the factors influencing its performance and describe the behavior of the application based on these factors. Experimental studies were performed on a parallel rendering application based on a sort-last domain decomposition technique. The following characteristics of the parallel application were analyzed: processing time, communication time and size of the data exchanged between processes. The performed analysis revealed the limitations of the application design in various runtime conditions offering strong clues on how certain stages of the application should be redesigned.
Uitgever: Asian Network for Scientific Information (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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