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The Performance Comparison and Evaluation of Parallel Platforms based on Throughput Model

机译:基于吞吐量模型的并行平台性能比较与评估

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Economical and high-efficient parallel computing platform are of great significance to remote sensing image processing. The throughput ability of every step of such processing heavily affects the application of remote sensing image parallel processing technologies. And throughput is a key performance index of high price/performance rate computing platform. Through analyzing the throughput model, we can obtain the characteristics of the parallel processing system throughput, also quantitatively analyze the throughput ability of each processing step brought by various peripheries and their matching relationships. This paper discusses the throughput characteristics of super computer and common COW (cluster of workstation), which are typical parallel computing platforms. And the study of real cases has been given to show the quantitative analysis method to construct economical and high-performance computing platform according to throughput characteristics
机译:经济高效的并行计算平台对遥感图像处理具有重要意义。这种处理的每一步的吞吐能力严重影响着遥感图像并行处理技术的应用。吞吐量是高性价比计算平台的关键性能指标。通过分析吞吐量模型,可以获得并行处理系统吞吐量的特征,还可以定量分析各种外围设备带来的每个处理步骤的吞吐量能力及其匹配关系。本文讨论了超级计算机和普通COW(工作站集群)的吞吐量特性,它们是典型的并行计算平台。并通过对实际案例的研究,说明了根据吞吐量特征构建经济,高性能计算平台的定量分析方法。

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