Title page for ETD etd-09042007-113753


Type of Document Dissertation
Author Ge, Rong
Author's Email Address ge@cs.vt.edu
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
Abstract
Today, 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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