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International Conference on Algorithms and Architectures for Parallel Processing

ICA3PP 2015: Algorithms and Architectures for Parallel Processing pp 434–443Cite as

Parallel Computing Method for HRV Time-Domain Based on GPU

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9529))

Abstract

HRV (Heart rate variability, which has a function of prediction for cardiovascular disease) contains a wealth of medical information, rapid extraction and procession of these signals will bring an important meaning for the prevention of heart diseases. Physionet open source project provides a good platform for the research and development of HRV, which also provides demonstration tools for the calculation of HRV. The characteristics of medical signal are real-time and have large volume of data. Conventional serial methods are difficult to meet the requirements of biomedicine, and the parallel method based on multi-core CPU is larger communication overhead. In this paper, we designed some parallel algorithms for the calculation of HRV in time-domain based on the strategy of parallel reduction, compared and analyzed the various optimization methods, and received the highest 38 times speedup compared with serial method.

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Acknowledgments

This paper was supported by National Nature Science Foundation of China (No. 61472100) and Fundamental Research Funds for the Central Universities, China (No. DUT14QY32).

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Authors and Affiliations

  1. School of Software Technology, Dalian University of Technology, Economic and Technological Development Zone, Dalian, 116600, China

    Jie Wang, Weihao Chen & Gang Hou

Authors
  1. Jie Wang
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  2. Weihao Chen
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  3. Gang Hou
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Corresponding author

Correspondence to Gang Hou .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojun Wang

  2. The University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Hunan University , Changsha, China

    Kenli Li

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© 2015 Springer International Publishing Switzerland

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Wang, J., Chen, W., Hou, G. (2015). Parallel Computing Method for HRV Time-Domain Based on GPU. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9529. Springer, Cham. https://doi.org/10.1007/978-3-319-27122-4_30

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  • DOI: https://doi.org/10.1007/978-3-319-27122-4_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27121-7

  • Online ISBN: 978-3-319-27122-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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