Hiding Periodic I/O Costs in Parallel Applications
Ma, Xiaosong
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https://hdl.handle.net/2142/81626
Description
Title
Hiding Periodic I/O Costs in Parallel Applications
Author(s)
Ma, Xiaosong
Issue Date
2003
Doctoral Committee Chair(s)
Winslett, Marianne
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
We evaluated our proposed I/O optimizations, namely active buffering and the GODIVA framework, with both synthetic benchmarks and real-world applications, including simulations and visualization tools. The performance study shows that our proposed techniques can significantly reduce the application-visible periodic I/O cost. Further, our experience of deploying these techniques in state-of-the-art simulation and visualization codes demonstrates that with careful design, our techniques for hiding I/O costs can be organically combined with mechanisms for performing adaptive performance optimization, application self-configuration, and effective data management.
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