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Abstract: A majority of parallel applications obtain parallelism by partitioning data over multiple processors. Accessing distributed data structures like arrays from files often requires each processor to make a large number of small non-contiguous data requests. This problem can be addressed by replacing small noncontiguous requests by large collective requests. This approach, known as Collective I/O, has been found to work extremely well in practice [BdC93, Kot96, SCJ + 95]. In this paper, we... (Update)
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...at Sandia National Labs called ASCI Red. TREX is a 550 node Paragon XP S with 448 GP (with 32MB memory) 86 MP (with 64MB memory) nodes [1]. We performed our experiments on 16 and 64 I O node partitions, each I O node having 64MB memory and a 4GB Seagate disk. ASCI Red...
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BibTeX entry: (Update)
Rajesh Bordawekar. Implementation and evaluation of collective i/o in the intel paragon parallel file system. Technical report, California Institute of Technology, November 1996. http://citeseer.ist.psu.edu/bordawekar96implementation.html More
@techreport{ bordawekar96implementation,
author = "Rajesh Bordawekar",
title = "Implementation and Evaluation of Collective {I/O} in the {Intel Paragon Parallel File System}",
number = "CACR~TR-128",
year = "1996",
url = "citeseer.ist.psu.edu/bordawekar96implementation.html" }
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2 Galley: A New Parallel File System for Parallel Applications (context) - Nieuwejaar - 1996
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1 Using File Striping for achieving High I/O Bandwidth (context) - Bordawekar - 1996
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1 The File System Architecture of OSF/1 AD Version (context) - Roy, Noveck et al. - 1993
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