Please use this identifier to cite or link to this item: https://doi.org/10.1364/AO.44.007125
Title: Temporal fringe pattern analysis with parallel computing
Authors: Ng, T.W. 
Ang, K.T.
Argentini, G.
Issue Date: 20-Nov-2005
Source: Ng, T.W., Ang, K.T., Argentini, G. (2005-11-20). Temporal fringe pattern analysis with parallel computing. Applied Optics 44 (33) : 7125-7129. ScholarBank@NUS Repository. https://doi.org/10.1364/AO.44.007125
Abstract: Temporal fringe pattern analysis is invaluable in transient phenomena studies but necessitates long processing times. Here we describe a parallel computing strategy based on the single-program multiple-data model and hyperthreading processor technology to reduce the execution time. In a two-node cluster workstation configuration we found that execution periods were reduced by 1.6 times when four virtual processors were used. To allow even lower execution times with an increasing number of processors, the time allocated for data transfer, data read, and waiting should be minimized. Parallel computing is found here to present a feasible approach to reduce execution times in temporal fringe pattern analysis. © 2005 Optical Society of America.
Source Title: Applied Optics
URI: http://scholarbank.nus.edu.sg/handle/10635/67808
ISSN: 00036935
DOI: 10.1364/AO.44.007125
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