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Title:Efficient Data Organization and Load Balancing on Parallel Disks
Author(s):Kuo, Szu-Wen
Doctoral Committee Chair(s):Winslett, Marianne
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Our experiments with all proposed approaches on IBM SP2s, using the Panda parallel I/O library as a testbed, show that our strategies significantly reduce the I/O time required for the checkpoint and snapshot operations of large simulations.
Issue Date:1999
Type:Text
Language:English
Description:128 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.
URI:http://hdl.handle.net/2142/81960
Other Identifier(s):(MiAaPQ)AAI9953068
Date Available in IDEALS:2015-09-25
Date Deposited:1999


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