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Parallel Mapper

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Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 (FTC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1289))

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Abstract

The construction of Mapper has emerged in the last decade as a powerful and effective topological data analysis tool that approximates and generalizes other topological summaries, such as the Reeb graph, the contour tree, split, and joint trees. In this paper we study the parallel analysis of the construction of Mapper. We give a provably correct parallel algorithm to execute Mapper on a multiple processors. Our algorithm relies on a divide and conquer strategy for the codomain cover which gets pulled back to the domain cover. We demonstrate our approach for topological Mapper then we show how it can be applied to the statistical version of Mapper. Furthermore, we discuss the performance results that compare our approach to a reference sequential Mapper implementation. Finally, we report the performance experiments that demonstrate the efficiency of our method. To the best of our knowledge this is the first algorithm that addresses the computation of Mapper in parallel.

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Author information

Authors and Affiliations

  1. Santa Clara University, Santa Clara, USA

    Mustafa Hajij

  2. Jazan University, Jazan City, Saudi Arabia

    Basem Assiri

  3. University of South Florida, Tampa, FL, USA

    Paul Rosen

Authors
  1. Mustafa Hajij
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  2. Basem Assiri
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  3. Paul Rosen
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Corresponding author

Correspondence to Mustafa Hajij .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Hajij, M., Assiri, B., Rosen, P. (2021). Parallel Mapper. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 . FTC 2020. Advances in Intelligent Systems and Computing, vol 1289. Springer, Cham. https://doi.org/10.1007/978-3-030-63089-8_47

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