Performance Scalability Prediction on Multicomputers
Mendes, Celso Luiz
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81902
Description
Title
Performance Scalability Prediction on Multicomputers
Author(s)
Mendes, Celso Luiz
Issue Date
1997
Doctoral Committee Chair(s)
Daniel A. Reed
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
According to the results of our study, by integrating compilation, performance analysis and symbolic manipulation tools, it is possible to correctly predict, in an automated fashion, the major performance variations of a data parallel program written in a high-level language.
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.
