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Program Systems: Theory and Applications, 2020, Volume 11, Issue 3, Pages 17–31
DOI: https://doi.org/10.25209/2079-3316-2020-11-3-17-31 (Mi ps368) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Mathematical Foundations of Programming

The loop fusion for data localization

B. Ya. Steinberg, O. B. Shteinberg, A. A. Vasilenko

Southern Federal University
Full-text PDF (1649 kB) Citations (2)
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DOI: https://doi.org/10.25209/2079-3316-2020-11-3-17-31
Abstract: The loop merging can be used to improve data localization. Merging loops that share variables can speed up execution by reducing the number of cache misses. This transformation has been known for a long time, but compilers perform it only for the simplest cases.
Our improved algorithms use pre-transformations to correctly merge loops with different numbers of iterations and informational dependencies.
Key words and phrases: loop fusion, optimizing compiler, program transformations, data locality, memory access optimization.
Received: 29.04.2020
02.07.2020
Document Type: Article
UDC: 519.681.3:004.415.3
BBC: 32.972.11:32.971.32-043
MSC: Primary 97P30; Secondary 97P20, 97R40
Language: Russian
Citation: B. Ya. Steinberg, O. B. Shteinberg, A. A. Vasilenko, “The loop fusion for data localization”, Program Systems: Theory and Applications, 11:3 (2020), 17–31
Citation in format AMSBIB
\Bibitem{SteShtVas20}
\by B.~Ya.~Steinberg, O.~B.~Shteinberg, A.~A.~Vasilenko
\paper The loop fusion for
data localization
\jour Program Systems: Theory and Applications
\yr 2020
\vol 11
\issue 3
\pages 17--31
\mathnet{http://mi.mathnet.ru/ps368}
\crossref{https://doi.org/10.25209/2079-3316-2020-11-3-17-31}
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Program Systems: Theory and Applications
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