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Huntley J M and C R Coggrave, Progress in Phase Unwrapping, Proc SPIE, 3407, 86 93 (1998) Huntley J M and H O Saldner, Temporal Phase-Unwrapping Algorithm for Automated Fringe Analysis, Appl Opt, 32, 3047 3052 (1993) Huntley J M and HO Saldner, Error-Reduction Methods for Shape Measurement by Temporal Phase Unwrapping J Opt Soc Am A, 14, 3188 3196 (1997) Ichihara A, T Tanaami, K Isozaki et al, High-Speed Confocal Fluorescent Microscopy Using a Nipkow Scanner with Microlenses for 3-D Imaging of Single Fluorescent Molecule in Real Time, Bioimages, 42, 57 62 (1996) Ingelstam E, Problems Related to the Accurate Interpretation of Microinterferograms, Paper presented at the Interferometry, National Physical Laboratory Symposium No 11 (1960) Ishii Y and R Onodera, Two-Wavelength Laser-Diode Interferometry That Uses PhaseShifting Techniques, Opt Lett, 16, 1523 1525 (1991) Itoh M, RYamada, R Tian, M.

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Tsai, and T Yatagai, Broad-Band Light-Wave Correlation Topography Using Wavelet Transform, Opt Rev, 135 138 (1995) Kikuta H, K Iwata, and R Nagata, Distance Measurement by the Wavelength Shift of Laser Diode Light, Appl Opt, 25, 2976 2980 (1986) Kim D, S W Kim, H J Kim, H J Kong, and Y Lee, Measurement of the Thickness Pro le of a Transparent Thin Film Deposited Upon a Pattern Structure with an Acousto-Optic Tunable Filter, Opt Lett, 27, 1893 1895 (2002) Kim D and S W Kim, Direct Spectral Phase Function Calculation for Dispersive Interferometric Thickness Pro lometry, Optics Express, 12, 5117 5124 (2004) Kim S W, M G Kang, and G S Han, Accelerated Phase-Measurement Algorithm of Least Squares for Phase-Shifting Interferometry, Opt Eng, 36, 3101 3106 (1997) Kim S W and G H.

hash function An algorithm that distributes items evenly into one of a number of possible buckets in a hash table. header A protocol-speci c eld or elds that precede the encapsulated higher-layer data payload.

After you delete an item from your Files tab, that item is no longer used within your site and is no longer uploaded to your Web server. But . . . the server doesn t know that. The copy already on the server continues to reside there and will remain there until you remove it.

Kim, Thickness-Pro le Measurement of Transparentm Thin-Film Layers by White-Light Scanning Interferometry, Appl Opt, 38, 5968 5973 (1999) Kimura S and T Wilson, Effect of Axial Pinhole Displacement in Confocal Microscopes, Appl Opt, 32, 2257 2261 (1993) Kino G S, T R Corle, and G Q Xiao, New Types of Scanning Optical Microscopes, Proc SPIE, 921, 116 22 (1988) Kino G S and S S C Chim, The Mirau Correlation Microscope, Appl Opt, 29, 3775 3783 (1990) Kinoshita M, M Takeda, H Yago, Y Watanabe, and T Kurokawa, Optical FrequencyDomain Micropro lometry with a Frequency-Tunable Liquid-Crystal Fabry-Perot Etalon Device, Appl Opt, 38, 7063 7068 (1999) Kroner K, R Windecker, M Fleisher, and H J Tiziani, One-Grating Projection for Absolute Three-Dimensional Pro ling, Opt Eng, 40, 1653 1660 (2001) Korner K, A Ruprecht, and T.

Wiesendanger, Optical Pro ling Techniques for Mems Measurement, in: W Osten (Ed), Optical Inspection of Microsystems,Taylor and Francis, Boca Raton, 2006 Kuwamura S and I Yamaguchi, Wavelength Scanning Pro lometry for Real-Time Surface Shape Measurement, Appl Opt, 37, 4473 4482 (1997) Larkin KG, Ef cient Demodulation for Bandpass Sampled Am Signals, Electronics Letters, 32, 101 102 (1996a)..

Regular Meshes PART was applied to an explicit, nonlinear nite code, called WHAMS2D [5], that is used to analyze elastic plastic materials. The code uses MPI built on top of Nexus for interprocessor communication within a supercomputer and between supercomputers. Nexus is a runtime system that allows for multiple protocols within an application. The computational complexity is linear with the size of the problem. The code was executed on the IBM SP machines located at Argonne National Laboratory (ANL) and the Cornell Theory Center (CTC). These two machines were connected by the Internet. Macro benchmarks were used to determine the network and processor performance. The results of the network performance analysis are given in Table 16.1. Furthermore, experiments were conducted to determine that the Cornell nodes were 1.6 times faster than the Argonne nodes. The problem mesh consists of three regular meshes. The execution time is given for 100 time steps corresponding to 0.005 s of application time. Generally, the application may execute for 10, 000 to 100, 000 timesteps. The recorded execution time represents over 100 runs, taking the data from the runs with standard deviation of less than 3%. The regular problems were executed on a machine con guration of eight processors (four at ANL IBM SP and four at CTC IBM SP). Table 16.2 presents the results for the regular problems. Column 1 is the mesh con guration. Column 2 is the execution time resulting from the conventional equal partitioning. In particular, we used Chaco s spectral bisection. Column 3 is the result