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Analysis and Solution of Generalized Stochastic Petri Nets: a Data Parallel CM-5 Approach

机译:广义随机培养网分析与解决方案:数据并行CM-5方法

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Generalized Stochastic Petri Nets (GSPN) represent an assessed formal methodology for performance analysis.of cuncurrrent systems. The applicability of this methodology is severely limited by potential state space explosion phenomenon. In this paper we describe a CM-5 based data parallel tool dedicated to the complete numerical solution of GSPN models. The main effectiveness of this approach is the significant extension of state space cardinalities that can be generated and solved in reasonable amounts of execution times.
机译:广义随机Petri网(GSPN)代表了患者绩效分析的评估正式方法。该方法的适用性受到潜在的状态太空爆炸现象的严重限制。在本文中,我们描述了一种基于CM-5的数据并行工具,专用于GSPN模型的完整数字解决方案。这种方法的主要效力是可以在合理的执行时间内产生和解决的国家空间基数的重要延伸。

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