Achieving High Performance on Extremely Large Parallel Machines: Performance Prediction and Load Balancing
Zheng, Gengbin
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Permalink
https://hdl.handle.net/2142/81708
Description
Title
Achieving High Performance on Extremely Large Parallel Machines: Performance Prediction and Load Balancing
Author(s)
Zheng, Gengbin
Issue Date
2005
Doctoral Committee Chair(s)
Kale, Laxmikant V.
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 further motivate the need for next generation load balancing strategies for petaflops class machines. We explore a novel design of a scalable hierarchical load balancing scheme, which incorporates an explicit memory cost control function to make it easy to adapt to extremely large machines with small memory footprint. This hierarchical load balancing scheme builds load data from instrumenting an application automatically at run-time on both computation and communication pattern. The load balancing strategy takes application communication pattern into account explicitly.
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