面向对象的工作站集群核外并行计算方法

Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies Pub Date : 2003-10-20 DOI:10.1109/PDCAT.2003.1236354

Jianqi Tang, Binxing Fang, Mingzeng Hu, Hongli Zhang

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引用次数: 2

摘要

不同领域的许多应用程序都需要访问大量的数据。处理核外数据的困难限制了超级计算机的性能。首先描述了一种基于工作站集群的核外计算模型。然后提出了一种面向对象的方法，使外核程序的编写更加容易。一些优化策略，如局部数组文件的分发、数据筛选和预取，也可以提高核外并行计算的性能。

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An object-oriented method for out-of-core parallel computations on cluster of workstations

Many applications in different fields need to access large amounts of data. The difficulty of handling out-of-core data limits the performance of supercomputers. We first describe an out-of-core computation model on cluster of workstations. Then an object-oriented method is offered, which makes the out-of-core programs easier to write. Some optimal strategies, such as distribution of local array files, data sieving and prefetching, also make an improvement in the performance of out-of-core parallel computations.

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Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies

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