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A GPGPU solution of the FMM near interactions for acoustic scattering problems

Miguel Lopez-Portugues, Jesus Lopez-Fernandez, Alberto Rodriguez-Campa, Jose Ranilla
Departamento de Ingenieria Electrica, Electronica, de Computadores y Sistemas, Universidad de Oviedo, Oviedo, Spain
The Journal of Supercomputing (17 March 2011), pp. 1-9.

@article{lopezgpgpu,

   title={A GPGPU solution of the FMM near interactions for acoustic scattering problems},

   author={L{‘o}pez-Portugu{‘e}s, M. and L{‘o}pez-Fern{‘a}ndez, J.A. and Rodr{‘i}guez-Campa, A. and Ranilla, J.},

   journal={The Journal of Supercomputing},

   pages={1–9},

   issn={0920-8542},

   publisher={Springer}

}

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The Fast Multipole Method (FMM) is specially suitable for applications in which it is necessary to predict the acoustic scattering, e.g., aircraft noise control. This accelerated iterative method has two main parts, far interactions and near interactions. Near interactions are computationally intensive and they fit properly in the Single Instruction Multiple Threads paradigm. In this work, we present a heterogeneous parallel solution in which the near interactions are computed using Graphical Processing Units (GPUs). The performance of the proposed solution is proved using a workstation with one NVIDIA GTX480 GPU and a cluster that consists of 32 nodes HP BL465c with an Infiniband network.
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