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CivilComp Proceedings
ISSN 17593433 CCP: 95
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi and B.H.V. Topping
Paper 94
MPI/OpenMP Parallelisation of the Harmonic Coupled FiniteStrip Method M. Nikolic^{1}, D.D. Milašinovic^{2}, Z. Zivanov^{1}, P. Maric^{1}, M. Hajdukovic^{1}, A. Borkovic^{3} and I. Milakovic^{3}
^{1}Faculty of Technical Sciences, University of Novi Sad, Serbia
M. Nikolic, D.D. MilaÂšinovic, Z. Zivanov, P. Maric, M. Hajdukovic, A. Borkovic, I. Milakovic, "MPI/OpenMP Parallelisation of the Harmonic Coupled FiniteStrip Method", in P. Iványi, B.H.V. Topping, (Editors), "Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", CivilComp Press, Stirlingshire, UK, Paper 94, 2011. doi:10.4203/ccp.95.94
Keywords: harmonic coupled finitestrip method, geometric nonlinear analysis, MPI, OpenMP.
Summary
Applying the full GreenLagrange strains the harmonic coupled finitestrip method (HCFSM) has been derived in [1]. Depending on the particular problem of continuum mechanics under consideration, the nonlinear contributions in a manner consistent with the usual von Karman assumptions may be safely ignored.
However, in the HCFSM formulation the coupling of all series terms dramatically increases the calculation time in an existing finitestrip sequential program when a large number of series terms are used. The HCFSM algorithm requires geometric stiffness matrix calculation. Calculations of stiffness matrix for different strips are independent and can be carried out in parallel on a cluster with suitable number of nodes. Therefore it is natural to use parallel programming libraries, such as MPI to obtain the parallel calculation of the stiffness matrix for different strips [2]. Such an approach allows substantial speedup as the calculation of each stiffness matrix requires a large number of arithmetic operations to be conducted on a relatively small set of input data. Further speedup is possible if each cluster node contains a multicore processor offering different cores to conduct simultaneous independent calculation of different stiffness matrices elements. This is natural ambient for the OpenMP approach. The examples provided demonstrate a critical need for the proposed improvements in the FSM. The method only touches a small academic community, though has contributed a great deal to the understanding of many important problems. References
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