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International Conference on Parallel Computational Technologies

PCT 2017: Parallel Computational Technologies pp 3–13Cite as

An AlgoView Web-visualization System for the AlgoWiki Project

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 753))

Abstract

There are countless ways to define an algorithm structure, which are mostly organized by flow of data, by executed tasks or by data decomposition. The so-called information graph provides a combination of these patterns. A possibility to investigate visually the information graph of a particular algorithm is, therefore, an adequate tool that helps to understand the algorithm itself, determining its resource of parallelism and figuring out how to code it better for parallel computing systems. In this paper, we present our approach to the information graphs visualization system, where online availability and low computational cost are the primary goals.

The results were obtained at the Lomonosov Moscow State University with the financial support of the Russian Science Foundation (agreement N 14-11-00190).

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References

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Author information

Authors and Affiliations

  1. Lomonosov Moscow State University, Moscow, Russia

    Alexander S. Antonov & Nikita I. Volkov

Authors
  1. Alexander S. Antonov
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  2. Nikita I. Volkov
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Corresponding author

Correspondence to Alexander S. Antonov .

Editor information

Editors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Leonid Sokolinsky

  2. South Ural State University, Chelyabinsk, Russia

    Mikhail Zymbler

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Antonov, A.S., Volkov, N.I. (2017). An AlgoView Web-visualization System for the AlgoWiki Project. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2017. Communications in Computer and Information Science, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-67035-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-67035-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67034-8

  • Online ISBN: 978-3-319-67035-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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