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A Parallel Approach for Solving Data Flow Analysis Problems
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Datalogi.
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Datalogi.ORCID iD: 0000-0002-7565-3714
2008 (English)In: The 20th IASTED International Conference on Parallel and Distributed Computing and Systems: PDCS 2008, Acta Press, Calgary , 2008Conference paper, Published paper (Refereed)
Abstract [en]

Program analysis supporting software development is often part of edit-compile-cycles and precise program analysis is time consuming. With the availability parallel processing power on desktop computers, parallelization is a way to speed up program analysis. This paper introduces a parallelization schema for program analysis that can be translated to parallel machines using standard scheduling techniques. First benchmarks analyzing a number of Java programs indicate that the schema scales well for up to 8 processors, but not very well for 128 processors. These results are a first step towards more precise program analysis in Integrated Development Environments utilizing the computational power of today’s custom computers.

Place, publisher, year, edition, pages
Acta Press, Calgary , 2008.
Keyword [en]
Data Flow Analysis, Static Analysis, Parallel Algorithm
National Category
Computer Sciences Computer Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:vxu:diva-3630ISBN: 978-0-88986-773-4 (print)OAI: oai:DiVA.org:vxu-3630DiVA, id: diva2:203586
Available from: 2008-11-14 Created: 2008-11-14 Last updated: 2018-01-13Bibliographically approved

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Edvinsson, MarcusLöwe, Welf

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  • apa
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  • Other locale
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  • asciidoc
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