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Analytical Model
Behavior Analysis
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Uma Abordagem Paralela para o Algoritmo Split
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Uma Abordagem Paralela para o Algoritmo Split
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FELIPE FRANCIOSI
The behavioral analysis of a process allows the detection of deficiencies, as well as assessing performance impact caused by environmental changes. The use of analytical models to describe the observed process provides these data through the resolution of equation systems. In the case where modeling is made using formalisms such as Stochastic Automata Network, the resolution of these systems depends on the multiplication of vectors by structures defined using tensor algebra. In view of these multiplications having a high computational cost, various algorithms have been proposed to solve it. Recently, the Split
iterative solution
was proposed, and the goal of this work is to provide a parallel optimized alternative for it, looking for an improved performance of the solution.
Published in 2008.
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