ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 ISPRS Göttingen, Germany 10.5194/isprsarchives-XXXIX-B4-225-2012 IMPLEMENTATION OF THE DISTRIBUTED PARALLEL PROGRAM FOR GEOID HEIGHTS COMPUTATION USING MPI AND OPENMP Lee S. 1 Kim J. 2 Jung Y. 1 Choi J. 1 Choi C. 1 Dept. of Spatial Information Engineering, Pukyong National University, 45, Yongso-ro, Nam-Gu, Busan, South Korea ZEN21, 2nd Floor, RNC building, 981-1 Bangbae 3-dong, Seocho-gu, Seoul 137-848, South Korea 31 07 2012 XXXIX-B4 225 229 Copyright: © 2012 S. Lee et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/XXXIX-B4/225/2012/isprs-archives-XXXIX-B4-225-2012.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXIX-B4/225/2012/isprs-archives-XXXIX-B4-225-2012.pdf

Much research have been carried out using optimization algorithms for developing high-performance program, under the parallel computing environment with the evolution of the computer hardware technology such as dual-core processor and so on. Then, the studies by the parallel computing in geodesy and surveying fields are not so many. The present study aims to reduce running time for the geoid heights computation and carrying out least-squares collocation to improve its accuracy using distributed parallel technology. A distributed parallel program was developed in which a multi-core CPU-based PC cluster was adopted using MPI and OpenMP library. Geoid heights were calculated by the spherical harmonic analysis using the earth geopotential model of the National Geospatial-Intelligence Agency(2008). The geoid heights around the Korean Peninsula were calculated and tested in diskless-based PC cluster environment. As results, for the computing geoid heights by a earth geopotential model, the distributed parallel program was confirmed more effective to reduce the computational time compared to the sequential program.