MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach
University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Advances in Engineering Software (24 November 2010)
@article{rakic2010mpi,
title={MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach},
author={Rakic, PS and Milasinovic, DD and Zivanov, Z. and Suvajdzin, Z. and Nikolic, M. and Hajdukovic, M.},
journal={Advances in Engineering Software},
issn={0965-9978},
year={2010},
publisher={Elsevier}
}
A finite-strip geometric nonlinear analysis is presented for elastic problems involving folded-plate structures. Compared with the standard finite-element method, its main advantages are in data preparation, program complexity, and execution time. The finite-strip method, which satisfies the von Karman plate equations in the nonlinear elastic range, leads to the coupling of all harmonics. However, coupling of series terms dramatically increases computation time in existing finite-strip sequential programs when a large number of series terms is used. The research reported in this paper combines various parallelization techniques and architectures (computing clusters and graphic processing units) with suitable programming models (MPI and CUDA) to speed up lengthy computations. In addition, a metric expressing the computational weight of input sets is presented. This metric allows computational complexity comparison of different inputs.
January 16, 2011 by hgpu
