Yong E. Cho, Marianne Winslett, Szu-wen Kuo, Jonghyun Lee, Ying Chen  Home/Search
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Abstract: Clusters of workstations and PCs are gaining more popularity as an economical resource for parallel computing. However, clusters are prone to be heterogeneous in I/O as well as in processing power. As a result, the performance of I/O intensive parallel scientific applications in which processes are closely synchronized together can be very poor, due to a bottleneck caused by the placement of one or more I/O servers without appropriate consideration of I/O resources available. This paper... (Update)
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BibTeX entry: (Update)
@inproceedings{ cho99parallel,
author = "Yong E. Cho and Marianne Winslett and Szu-Wen Kuo and Jonghyun Lee and Ying Chen",
title = "Parallel I/O for scientific applications on heterogeneous clusters: a resource-utilization approach",
booktitle = "International Conference on Supercomputing",
pages = "253-259",
year = "1999",
url = "citeseer.ist.psu.edu/361369.html" }
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