Performance Modeling and Prediction of Parallel and Distributed Computing Systems: A Survey of the State of the Art
Performance Modeling and Prediction of Parallel and Distributed Computing Systems: A Survey of the State of the Art
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并行和分布式计算系统的性能建模和预测：现有技术的调查
DOI：
10.1109/cisis.2007.49
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
S. Benkner
中科院分区：
文献类型：
--
作者：
Sabri Pllana;I. Brandić;S. Benkner
性能是并行和分布式计算系统的关键特征之一。因此，在过去，大量的研究工作被投入到并行和分布式计算系统的性能建模和预测方法的开发上。在这篇文章中，我们确定了最新方法的趋势、贡献和缺点。我们描述了从高级数学建模到详细的指令级模拟的各种性能建模方法。对于每种方法，我们描述了程序和机器是如何建模的，并估计了模型开发和评估的工作量、效率和准确性。此外，我们对所提出的方法进行了全面的评估。
Performance is one of the key features of parallel and distributed computing systems. Therefore, in the past a significant research effort was invested in the development of approaches for performance modeling and prediction of parallel and distributed computing systems. In this paper we identify the trends, contributions, and drawbacks of the state of the art approaches. We describe a wide range of the performance modeling approaches that spans from the high-level mathematical modeling to the detailed instruction-level simulation. For each approach we describe how the program and machine are modeled and estimate the model development and evaluation effort, the efficiency, and the accuracy. Furthermore, we present an overall evaluation of the presented approaches