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Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry

The Journal of Supercomputing volume 77, pages 9433–9453 (2021)Cite this article

Abstract

Phase unwrapping is an integral part of multiple algorithms with diverse applications. Detailed phase unwrapping is also necessary for achieving high-accuracy metric sensing using laser feedback-based self-mixing interferometry (SMI). Among SMI specific phase unwrapping approaches, a technique called Improved Phase Unwrapping Method (IPUM) provides the highest accuracy. However, due to its complex, sequential, and compute-intensive nature, this method requires a high-performance computing architecture, capable of scalable parallel processing so that such a high-accuracy algorithm can be used for high-bandwidth sensing applications. In this work, the existing sequential IPUM C program is parallelized by using hybrid OpenMP/MPI (Open Multi-Processing/Message Passing Interface) parallel programming models and tested on Barcelona Supercomputing Center Nord-III Supercomputer. The computational performance of the proposed parallel-hybrid IPUM algorithm is compared with existing IPUM sequential code by executing multi-core and uni-core processor architecture, respectively. While comparing the performance of sequential IPUM with the parallel-hybrid IPUM algorithm on 16 nodes of Nord-III supercomputer, the results show that the parallel-hybrid algorithm gets 345.9x times performance improvement as compared to IPUM’s standard, sequential implementation on a single node system. The results show that the parallel-hybrid version of IPUM gives a scalable performance for different target velocities and a different number of processing cores.

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Acknowledgements

The research leading to these results has received fundings from the Higher Education Commission under TDF03-097. The authors would like to thank the Unal Color of Education Research and Development (UCERD), Private Limited Islamabad, Pakistan Supercomputing Center, and Barcelona Supercomputing Center Spain for the support.

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Authors and Affiliations

  1. Riphah International University Islamabad, Islamabad, Pakistan

    Tassadaq Hussain & Saqib Amin

  2. National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Usman Zabit

  3. Barcelona Supercomputing Center, Barcelona, Spain

    Eduard Ayguadé

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  1. Tassadaq Hussain
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  2. Saqib Amin
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  3. Usman Zabit
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  4. Eduard Ayguadé
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Correspondence to Tassadaq Hussain.

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Hussain, T., Amin, S., Zabit, U. et al. Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry. J Supercomput 77, 9433–9453 (2021). https://doi.org/10.1007/s11227-021-03634-6

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  • DOI: https://doi.org/10.1007/s11227-021-03634-6

Keywords

  • Parallel processing
  • Supercomputing
  • Phase unwrapping
  • Interferometry
  • HPC