Temporal fringe pattern analysis with parallel computing
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.
- Authors:
- Publication Date:
- OSTI Identifier:
- 20702667
- Resource Type:
- Journal Article
- Journal Name:
- Applied Optics
- Additional Journal Information:
- Journal Volume: 44; Journal Issue: 33; Other Information: DOI: 10.1364/AO.44.007125; (c) 2005 Optical Society of America; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0003-6935
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTER ARCHITECTURE; COMPUTER CODES; IMAGE PROCESSING; INTERFEROMETRY; VISIBLE RADIATION
Citation Formats
Ng, Tuck Wah, Ang, Kar Tien, and Argentini, Gianluca. Temporal fringe pattern analysis with parallel computing. United States: N. p., 2005.
Web. doi:10.1364/AO.44.007125.
Ng, Tuck Wah, Ang, Kar Tien, & Argentini, Gianluca. Temporal fringe pattern analysis with parallel computing. United States. https://doi.org/10.1364/AO.44.007125
Ng, Tuck Wah, Ang, Kar Tien, and Argentini, Gianluca. 2005.
"Temporal fringe pattern analysis with parallel computing". United States. https://doi.org/10.1364/AO.44.007125.
@article{osti_20702667,
title = {Temporal fringe pattern analysis with parallel computing},
author = {Ng, Tuck Wah and Ang, Kar Tien and Argentini, Gianluca},
abstractNote = {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.},
doi = {10.1364/AO.44.007125},
url = {https://www.osti.gov/biblio/20702667},
journal = {Applied Optics},
issn = {0003-6935},
number = 33,
volume = 44,
place = {United States},
year = {Sun Nov 20 00:00:00 EST 2005},
month = {Sun Nov 20 00:00:00 EST 2005}
}
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