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Title:Achieving High Performance on Extremely Large Parallel Machines: Performance Prediction and Load Balancing
Author(s):Zheng, Gengbin
Doctoral Committee Chair(s):Kale, Laxmikant V.
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: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.
Issue Date:2005
Type:Text
Language:English
Description:163 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81708
Other Identifier(s):(MiAaPQ)AAI3202198
Date Available in IDEALS:2015-09-25
Date Deposited:2005


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