Translator Disclaimer
18 August 2005 Supercomputing in compression of temporal fringe pattern analysis
Author Affiliations +
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 (SPMD) model and hyper-threading processor technology to reduce the execution time. In a two-node cluster workstation configuration, we found that execution periods reduced by 1.6 times using four virtual processors. To allow even lower execution times with increasing number of processors, the time allocated for data transfer, data read, and waiting should be minimized. Parallel or super computing is found here to present a feasible approach to reduce execution times in temporal fringe pattern analysis.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. W. Ng, K. T. Ang, and G. Argentini "Supercomputing in compression of temporal fringe pattern analysis", Proc. SPIE 5880, Optical Diagnostics, 588005 (18 August 2005);


Fringe pattern analysis toolbox
Proceedings of SPIE (September 22 1995)
Iterative phase gradient estimation from fringe patterns
Proceedings of SPIE (November 06 2003)
Electronic speckle techniques in noisy environments
Proceedings of SPIE (December 10 1993)

Back to Top