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University of Nevada, Las Vegas

The exploitation of pipeline parallelism by compile time dataflow analysis

Abstract

dc:description.abstract

The automatic and implicit transformation of sequential instruction streams, which execute efficiently for pipelined architectures is the subject of this paper. This paper proposes a method which maximizes the parallel performance of an instruction pipeline by detecting and eliminating specific pipeline hazards known as resource conflicts. The detection of resource conflicts is accomplished with data dependence analysis, while the elimination of resource conflicts is accomplished by instruction stream code transformation. The transformation of instruction streams is guided by data dependence analysis, and dependence graphs. This thesis is based on the premise that the elimination of resource conflicts is synonymous with the elimination of specific arcs in the dependence graph. Examples will be given showing how detection and elimination of resource conflicts is possible through compiler optimization.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor dc:publisher
University of Nevada, Las Vegas
Year
1991

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lombardo, Joseph Michael
Contributors dc:contributor
  • Evangelos Yfantis

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-1148

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Lombardo, Joseph Michael. The exploitation of pipeline parallelism by compile time dataflow analysis. Thesis thesis, University of Nevada, Las Vegas, 1991. https://doi.org/10.25669/0t3t-9lna