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Title:Compile -Time Performance Prediction of Scientific Programs
Author(s):Cascaval, Gheorghe Calin
Doctoral Committee Chair(s):Padua, David A.
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 use stack distances to quantify locality and we show that the average locality computed using stack distances is a very reliable metric. A new algorithm for stack processing, that is 30% faster than the best know algorithm on the suite of programs traced, is also presented.
Issue Date:2000
Type:Text
Language:English
Description:124 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
URI:http://hdl.handle.net/2142/81985
Other Identifier(s):(MiAaPQ)AAI9989955
Date Available in IDEALS:2015-09-25
Date Deposited:2000


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