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Title:Macroscopic Data Structure Analysis and Optimization
Author(s):Lattner, Christopher Arthur
Doctoral Committee Chair(s):Vikram Adve
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:This thesis describes the approach, analysis, and transformation of programs with macroscopic techniques, and evaluates the net performance impact of the transformations. Finally, it describes a large class of potential applications for the work in fields such as heap safety and reliability, program understanding, distributed computing, and static garbage collection.
Issue Date:2005
Type:Text
Language:English
Description:213 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81663
Other Identifier(s):(MiAaPQ)AAI3182303
Date Available in IDEALS:2015-09-25
Date Deposited:2005


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