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Performance Evaluation of Optimized Implementations of Finite Difference Method for Wave Propagation Problems on GPU Architecture

Diego Brandao, Marcelo Zamith, Esteban Clua, Anselmo Montenegro, Andre Bulcao, Daniel Madeira, Mauricio Kischinhevsky, Regina C.P. Leal-Toledo
MediaLab, Univ. Fed. Fluminense, Rio de Janeiro, Brazil
22nd International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), 2010

@conference{brandao2010performance,

   title={Performance Evaluation of Optimized Implementations of Finite Difference Method for Wave Propagation Problems on GPU Architecture},

   author={Brandao, D. and Zamith, M. and Clua, E. and Montenegro, A. and Bulc{~a}o, A. and Madeira, D. and Kischinhevsky, M. and Leal-Toledo, R.C.P.},

   booktitle={2010 22nd International Symposium on Computer Architecture and High Performance Computing Workshops},

   pages={7–12},

   year={2010},

   organization={IEEE}

}

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The scattering of acoustic waves in non-homogeneous media has been of practical interest for the petroleum industry, mainly in the determination of new oil deposits. A family of computational models that represent this phenomenon is based on finite difference methods. The simulation of these phenomena demands a high computational cost. In this work we employ GPU for the development of solvers for a 2D wave propagation problem with finite difference methods. Although there are many related works that use the same implementation presented in this paper, we propose a detailed and novel performance and memory bottleneck analysis for this hardware architecture.
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