Full text: Technical Commission IV (B4)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
  
  
  
  
  
  
  
  
  
  
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Figure 3. Running time of hybrid MPI and OpenMP application 
for computing of SHA and LSC. (a) broadcast time of 
EGM2008 and the EGM2008-derived geoid heights, (b) 
runtime for SHA of EGM2008, (c) runtime to find optimum 
correlation length using LSC fitting, and (d) total computation 
time. 
As results, the broadcast time of EGM2008 and the EGM2008- 
derived geoid heights needed approximately 4 seconds at 1 
node (2 processors) and approximately 18 seconds for 
maximum node (32 processors). The share (ratio) of broadcast 
time in total computation time showed almost 096. This means 
that although it has almost no influence upon total computation 
time, it increased linearly depending on the number of nodes. 
For SHA, the calculations were possible with approximately 
3.6% of 1 processor. And LSC fitting was possible to be 
calculated with approximately 3.8% of 1 processor. The total 
computation time was approximately 6 hours and 40 minutes (0 
node) and approximately 15 minutes (maximum node). This is 
similar to the result of SHA research using supercomputer, 
which means parallization modeling for SHA and LSC fitting 
suggested by this paper is well executed in low-performance 
cluster system (Xiao and lu, 2007). 
6. CONCLUSION 
In this paper, we proposed spherical harmonic analysis used to 
evaluate suitability of GGMs and hybrid MP and OpenMP 
approach to reduce data processing time for least-squares 
collocation fitting. 
Hybrid implementation using parallelization modeling showed 
more advanced result in calculation speed than serial 
implementation. Moreover, cluster system with low- 
performance not high-performance computing (HPC) like 
supercomputer performed SHA and LSC fitting more effectively. 
7. REFERENCES 
Bae, T.S., Lee, J., Kwon, J.H. and Hong, C.K., 2011. Update of 
the precision geoid determination in Korea. Geophysical 
Prospecting, 60(3). pp. 555-571. 
Chandler, G. and Merry, C., 2010, The South African geoid 
2010: SAGEOIDIO. PositionIT, pp. 29-33. 
Chapman, B., Jost, G. and Van der Pas, R., 2007. Using 
OpenMP. The MIT Press, Boston. pp. 1-34. 
Chorley, M.J. and Walker, D.W., 2010. Performance analysis of 
a hybrid MPI/OpenMP application on multi-core clusters. 
Journal of Computational Science 1, pp. 168-174. 
Daho, S.A.B., Fairhead, J.D., Zeggai, A., Ghezali, B., Derkaoui, 
A., Gourine, B. and Khelifa, S., 2008. New investigation on the 
choice of the tailored geopotential model for Algeria. Journal of 
Geodynamics, 45, pp. 154-162. 
Darbeheshti, N., 2009. Modification of the least-squares 
collocation method for non-stationary gravity field modelling. 
Ph.D. thesis, Curtin University of Technology, Perth, Western 
Australia 
Dawod, G.M., Mohamed, H.F. and Ismail, S.S., 2010. 
Evaluation and adaptation of the EGM2008 geopotential model 
along the Northern Nile Valley, Egypt: Case Study. Journal of 
Surveying Engineering, 136, pp. 36-40. 
Forsberg, R., Tscherning, C.C. and Knudsen, P., 2003. An 
overview manual of the GRAVSOFT geodetic gravity field 
modelling programs. Kort & Matrikelstyrelsen. 
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