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Multi-GPU Approach for Development of Parallel and Scalable Pub-Sub System

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Book cover Computing, Communication and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 810))

Abstract

Event matching plays an important part in the overall attainment of the content-based Publish-Subscribe system. These systems demand guaranteed message delivery, high throughput and low matching time. Existing parallel content matching algorithms make use of multiple cores and off the shelf hardware easily available in today’s modern computers. For a large number of events and subscriptions, these algorithms suffer from performance degradation. In this paper, we propose high-performance Publish-Subscribe system designed to run efficiently on multiple GPUs. Performance comparison with existing CCM (CUDA Content Matching) algorithm clearly demonstrates 32% improvement in matching latency.

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References

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Author information

Authors and Affiliations

  1. Department of CSE, Walchand College of Engineering, Sangli, Maharashtra, India

    Medha A. Shah

  2. Department of Information Technology, Walchand College of Engineering, Sangli, Maharashtra, India

    Dinesh Kulkarni

Authors
  1. Medha A. Shah
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  2. Dinesh Kulkarni
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Corresponding author

Correspondence to Medha A. Shah .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India

    Brijesh Iyer

  2. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India

    S.L. Nalbalwar

  3. Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Nagendra Prasad Pathak

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Shah, M.A., Kulkarni, D. (2019). Multi-GPU Approach for Development of Parallel and Scalable Pub-Sub System. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_49

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  • DOI: https://doi.org/10.1007/978-981-13-1513-8_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1512-1

  • Online ISBN: 978-981-13-1513-8

  • eBook Packages: EngineeringEngineering (R0)

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