GPU-PRISM:用于通用图形处理单元的PRISM扩展

Infinity Pub Date : 2010-09-30 DOI:10.1109/PDMC-HIBI.2010.11
D. Bosnacki, S. Edelkamp, Damian Sulewski, Anton Wijs
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引用次数: 26

摘要

我们提出了(通用)图形处理单元(gpu)的模型检查器PRISM的扩展。扩展是基于并行算法的概率模型检查,这是调优的gpu。特别是,我们将算法的部分并行化,这些部分可以归结为线性代数运算,比如求解线性方程组和矩阵向量乘法。这些计算在gpgpu上非常有效地执行,与PRISM的标准版本相比,这导致了微不足道的运行时改进。我们在几个案例研究中评估了PRISM的扩展,在这些案例研究中,我们观察到与该工具的标准CPU实现相比有显著的加速。
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GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units
We present an extension of the model checker PRISM for (general purpose) graphics processing units (GPUs). The extension is based on parallel algorithms for probabilistic model checking which are tuned for GPUs. In particular, we parallelize the parts of the algorithms that boil down to linear algebraic operations, like solving systems of linear equations and matrix vector multiplication. These computations are performed very efficiently on GPGPUs which results inconsiderable runtime improvements compared to the standard versions of PRISM. We evaluated the extension of PRISM on several case studies in which we observed significant speedup over the standard CPU implementation of the tool.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
26
审稿时长
10 weeks
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