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University of Illinois at Urbana-Champaign
Compile -Time Performance Prediction of Scientific Programs
Abstract
dc:descriptionWe 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Cascaval, Gheorghe Calin
- Contributors dc:contributor
-
- Padua, David A.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9989955
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81985