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A comprehensive approach to parallel data flow analysis

Descriptive

Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Genre (authority = RULIB-FS)
Other
Genre (authority = marcgt)
technical report
PhysicalDescription
InternetMediaType
application/pdf
Extent
1 online resource (35 pages) : illustrations
Note (type = special display note)
Technical report lcsr-tr-192
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Computer Science (New Brunswick)
TypeOfResource
Text
TitleInfo
Title
A comprehensive approach to parallel data flow analysis
Abstract (type = abstract)
We present a comprehensive approach to performing data flow analysis in parallel. We identify three types of parallelism inherent in the data flow solution process: independent-problem parallelism, separate-unit parallelism and algorithmic parallelism; and describe a unified framework to exploit them. Our investigations of typical Fortran programs reveal an abundance of the last two types of parallelism. In particular, we illustrate the exploitation of algorithmic parallelism in the design of our parallel hybrid data flow analysis algorithms. We report on the empirical performance of the parallel hybrid algorithm for the Reaching Definitions problem and the structural characteristics of the program flow graphs that affect algorithm performance.
Name (type = personal)
NamePart (type = family)
Lee
NamePart (type = given)
Yong-fong
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Ryder
NamePart (type = given)
Barbara G.
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
1992-07
Subject (authority = local)
Topic
Data flow analysis
Subject (authority = local)
Topic
Parallel algorithms
Subject (authority = local)
Topic
Parallel data flow analysis
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-1852-ye88
Genre (authority = ExL-Esploro)
Technical Documentation
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This Item is protected by copyright and/or related rights.You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.For other uses you need to obtain permission from the rights-holder(s).
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.4
ApplicationName
GPL Ghostscript 9.07
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-06T12:36:35
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-06T12:36:35
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