Compile -Time Performance Prediction of Scientific Programs
Cascaval, Gheorghe Calin
Loading…
Permalink
https://hdl.handle.net/2142/81985
Description
Title
Compile -Time Performance Prediction of Scientific Programs
Author(s)
Cascaval, Gheorghe Calin
Issue Date
2000
Doctoral Committee Chair(s)
Padua, David A.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.