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University of Illinois at Urbana-Champaign

Symbolic analysis techniques for effective automatic parallelization

Abstract

dc:description

Made available in DSpace on 2011-05-07T12:55:55Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9624292.pdf: 5755308 bytes, checksum: a606b4b119bd2f869783098a4f5ae735 (MD5) Previous issue date: 1995

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
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Blume, William Joseph
Contributors dc:contributor
  • Padua, David A.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1995 Blume, William Joseph
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9624292
(UMI)AAI9624292
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/21017

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Blume, William Joseph. Symbolic analysis techniques for effective automatic parallelization. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/21017