Type of Document Dissertation Author Ge, Rong Author's Email Address firstname.lastname@example.org URN etd-09042007-113753 Title Theories and Techniques for Efficient High-End Computing Degree PhD Department Computer Science Advisory Committee
Advisor Name Title Cameron, Kirk W. Committee Chair Back, Godmar V. Committee Member Hsiao, Michael S. Committee Member Kafura, Dennis G. Committee Member Ribbens, Calvin J. Committee Member Keywords
- High-performance computing
- power and performance management
- power-performance efficiency
- performance modeling and analysis
Date of Defense 2007-08-27 Availability unrestricted AbstractToday, power consumption costs supercomputer centers millions of dollars annually and the heat produced can reduce system reliability and availability. Achieving high performance while reducing power consumption is challenging since power and performance are inextricably interwoven; reducing power often results in degradation in performance.
This thesis aims to address these challenges by providing theories, techniques, and tools to 1) accurately predict performance and improve it in systems with advanced hierarchical memories, 2) understand and evaluate power and its impacts on performance, 3) control power and performance for maximum efficiency.
Our theories, techniques, and tools have been applied to high-end computing systems. Our theroetical models can improve algorithm performance by up to 59% and accurately predict the impacts of power on performance. Our techniques can evaluate power consumption of high-end computing systems and their applications with fine granularity and save up to 36% energy with little performance degradation.
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