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Vidushi: Parallel Implementation of Alpha Miner Algorithm and Performance Analysis on CPU and GPU Architecture

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Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 256))

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Abstract

Process Aware Information Systems (PAIS) are IT systems which support business processes and generate event-logs as a result of execution of the supported business processes. Alpha Miner is a popular algorithm within Process Mining which consists of discovering a process model from the event-logs. Discovering process models from large volumes of event-logs is a computationally intensive and a time consuming task. In this paper, we investigate the application of parallelization on Alpha Miner algorithm. We apply implicit multithreading parallelism and explicit parallelism through parfor on it offered by MATLAB (Matrix Laboratory) for multi-core Central Processing Unit (CPU). We measure performance gain with respect to serial implementation. Further, we use Graphics Processor Unit (GPU) to run computationally intensive parts of Alpha Miner algorithm in parallel. We achieve highest speedup on GPU reaching till \(39.3\times \) from the same program run over multi-core CPU. We conduct experiments on real world and synthetic datasets.

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Notes

  1. 1.

    http://www.mathworks.com/matlabcentral/answers/95958-which-matlab-functions-benefit-from-multithreaded-computation.

  2. 2.

    http://in.mathworks.com/products/parallel-computing/.

  3. 3.

    http://in.mathworks.com/help/distcomp/parfor.html.

  4. 4.

    http://cn.mathworks.com/help/pdf_doc/distcomp/distcomp.pdf.

  5. 5.

    http://in.mathworks.com/help/distcomp/introduction-to-parfor.html.

  6. 6.

    http://in.mathworks.com/help/distcomp/parpool.html?refresh=true.

  7. 7.

    http://www.mathworks.com/matlabcentral/answers/95958-which-matlab-functions-benefit-from-multi-threaded-computation.

  8. 8.

    http://in.mathworks.com/company/newsletters/articles/parallel-matlab-multiple-processors-and-multiple-cores.html.

  9. 9.

    http://in.mathworks.com/help/matlab/matlab_prog/vectorization.html.

  10. 10.

    http://in.mathworks.com/help/matlab/ref/arrayfun.html.

  11. 11.

    http://en.wikipedia.org/wiki/Pairing_function.

  12. 12.

    http://in.mathworks.com/discovery/matlab-gpu.html.

  13. 13.

    doi:10.4121/500573e6-accc-4b0c-9576-aa5468b10cee.

  14. 14.

    doi:10.4121/uuid:c3e5d162-0cfd-4bb0-bd82-af5268819c35.

  15. 15.

    http://bit.ly/1LFJqyM.

  16. 16.

    http://www.intel.in/content/www/in/en/architecture-and-technology/hyper-threading/hyper-threading-technology.html.

  17. 17.

    http://en.wikipedia.org/wiki/Speedup.

  18. 18.

    http://in.mathworks.com/company/newsletters/articles/improving-optimization-performance-with-parallel-computing.html.

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Author information

Authors and Affiliations

  1. Indraprastha Institute of Information Technology, Delhi (IIITD), New Delhi, India

    Divya Kundra & Prerna Juneja

  2. Software Analytics Research Lab (SARL), New Delhi, India

    Ashish Sureka

Authors
  1. Divya Kundra
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  2. Prerna Juneja
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  3. Ashish Sureka
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Corresponding author

Correspondence to Ashish Sureka .

Editor information

Editors and Affiliations

  1. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Manfred Reichert

  2. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Hajo A. Reijers

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© 2016 Springer International Publishing Switzerland

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Kundra, D., Juneja, P., Sureka, A. (2016). Vidushi: Parallel Implementation of Alpha Miner Algorithm and Performance Analysis on CPU and GPU Architecture. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-42887-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42886-4

  • Online ISBN: 978-3-319-42887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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