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Abstract: We sketch the reasons for the I/O bottleneck in parallel and distributed systems, pointing out that it can be viewed as a special case of a general bottleneck that arises at all levels of the memory hierarchy. We argue that because of its severity, the I/O bottleneck deserves systematic attention at all levels of system design. We then present a survey of the issues raised by the I/O bottleneck in six key areas of parallel and distributed systems: applications, algorithms, languages and... (Update)
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BibTeX entry: (Update)
@incollection{ kotz99io,
author = "David Kotz and Ravi Jain",
title = "{I/O} in Parallel and Distributed Systems",
booktitle = "Encyclopedia of Computer Science and Technology",
volume = "40",
publisher = "Marcel Dekker, Inc.",
editor = "Allen Kent and James G. Williams",
pages = "141--154",
year = "1999",
url = "citeseer.ist.psu.edu/kotz98io.html" }
Citations (may not include all citations):1575 Computer Architecture: A Quantitative Approach (context) - Patterson, Hennessy - 1990
298 Parallel database systems: The future of highperformance dat.. - DeWitt, Gray - 1992
216 Informed prefetching and caching - Patterson, Gibson et al. - 1995
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