基于gpgpu的棱镜模拟器:PMC结果的统计验证(扩展摘要)

International Workshop on Concurrency, Specification and Programming Pub Date : 1900-01-01 DOI:10.16926/M.2017.22.07

Marcin Copik, A. Rataj, B. Wozna

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引用次数: 0

摘要

我们描述了一个基于gpgpu的蒙特卡罗模拟器与Prism集成。它支持离散时间或连续时间的马尔可夫链，以及可在PCTL、CSL及其带奖励扩展的变体中表示的性质子集。该模拟器允许对使用Prism的形式化方法获得的结果进行自动统计验证。

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A GPGPU-based Simulator for Prism: Statistical Verification of Results of PMC (extended abstract)

We describe a GPGPU–based Monte Carlo simulator integrated with Prism. It supports Markov chains with discrete or continuous time and a subset of properties expressible in PCTL, CSL and their variants extended with rewards. The simulator allows an automated statistical verification of results obtained using Prism’s formal methods.

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International Workshop on Concurrency, Specification and Programming

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