在Linux集群中使用PVFS的并行核外计算系统

Jianqi Tang, Binxing Fang, Mingzeng Hu, Hongli Zhang
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引用次数: 2

摘要

集群系统成为一种新的、流行的并行计算方法。越来越多的科学家和工程师使用集群来解决大数据集的问题,因为它具有高处理能力、低价格和良好的可扩展性。针对传统的外核程序难以编写和虚拟内存系统性能不佳的问题,我们利用PVFS开发了一个并行的外核计算系统,命名为POCCS。POCCS为编写核外代码和核外数据的全局视图提供了方便的接口。介绍了该系统的软件体系结构、数据存储模型和系统实现。实验结果表明,POCCS扩展了可求解问题的规模,在数据集较大的情况下,POCCS的性能优于虚拟内存系统。
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A parallel out-of-core computing system using PVFS for Linux clusters
Cluster systems become a new and popular approach to parallel computing. More and more scientists and engineers use clusters to solve problems with large sets of data for its high processing power, low price and good scalability. Since the traditional out-of-core programs are difficult to write and the virtual memory system does not perform well, we develop a parallel out-of-core computing system using PVFS named POCCS. POCCS provides convenient interface to write out-of-core codes and the global view of the out-of-core data. The software architecture, data storage model and system implementation are described in this paper. The experimental results show that POCCS extends the problem sizes that can be solved and the performance of POCCS is better than the virtual memory system while the data set is large.
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