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University of Illinois at Urbana-Champaign

Symbolic analysis for parallelizing compilers

Abstract

dc:description

The notion of dependence captures the most important properties of a program for efficient execution on parallel computers. The dependence structure of a program defines the necessary constraints of the order of execution of the program components, and provides sufficient information for the exploitation of the available parallelism. Static discovery and management of the dependence structure of programs saves a tremendous amount of execution time, and dynamic utilization of dependence information results in a significant performance gain on parallel computers. However, experiments with supercomputers indicate that existing multiprocessing environments are unable to deliver the desired performance over a wide range of real applications, mainly due to lack of precision of their dependence information. This calls for an effective compilation scheme capable of understanding the dependence structure of complicated application programs. This thesis describes a methodology for capturing and analyzing program properties that are essential in the effective detection and efficient exploitation of parallelism on parallel computers. Based on this methodology, a symbolic analysis framework is developed for the Parafrase-2 parallelizing compiler. This framework extends the scope of a variety of important program analysis problems, and solves them in a unified way. The attained solution space of these problems is much larger than that handled by existing compiler technology. Such a powerful approach is required for the effective compilation of a large class of application programs.

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
  • Haghighat, Mohammad Reza
Contributors dc:contributor
  • Polychronopoulos, Constantine D.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 1994 Haghighat, Mohammad Reza
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9512384
(UMI)AAI9512384
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22867

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

Haghighat, Mohammad Reza. Symbolic analysis for parallelizing compilers. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22867