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Low-coherence interferometry with polynomial interpolation on compute unified device architecture-enabled graphics processing units

Publication date 2013
B-Phot Authors Jurgen Van Erps, Hugo Thienpont
DOI 10.1117/1.OE.52.9.094105
Citation
S. Tomczewski, A. Pakula, J. Van Erps, H. Thienpont, and L. Salbut, “Low-coherence interferometry with polynomial interpolation on compute unified device architecture-enabled graphics processing units,” OPTICAL ENGINEERING, vol. 52, no. 9, p. 094105, 2013.
Abstract An algorithm for interpolation of central fringe position in lowcoherence interferometry measurements is presented. The algorithm is based on a polynomial curve fitting. Fast calculation of interpolation is possible due to the use of an NVIDIA Compute Unified Device Architecture (CUDA) technology, which allows independent analysis of different points of a high-resolution detector matrix on separate cores of a graphics processing unit (GPU). The dependency of the method's accuracy on the spectral width of the light source is checked. The computation times on a GPU are compared with those achieved with a multicore central processing unit, showing nearly 30 times faster calculations when using CUDA technology. The algorithm accuracy is tested by measuring a flat glass surface with two different cameras-an ordinary CCD camera and a cooled EMCCD camera. Finally, the algorithm is applied to measurements of a populated optical fiber connector array prototyped using deep proton writing technology. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
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