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

• DOI: 10.1007/s11227-021-03634-6
• Publication Date: 2021-02-09T10:33:04Z
• Authors: Tassadaq Hussain; Saqib Amin; Usman Zabit; Eduard Ayguadé
• Keywords: Interferometria; Application program interfaces (Computer software); Parallel processing (Electronic computers); Processament en paral·lel (Ordinadors); Supercomputing; Interfícies de programació d'aplicacions (Programari); Supercomputers; 01 natural sciences; 0104 chemical sciences; Interferometry; Supercomputadors; Phase unwrapping; Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles; HPC; 0103 physical sciences; :Informàtica::Arquitectura de computadors::Arquitectures paral·leles [Àrees temàtiques de la UPC]

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.<br/>Peer Reviewed<br/>The research leading to these results has received fundings from the Higher Education Commission under TDF03-097.<br/>