Abstract | ||
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In this paper, we present a heterogeneous parallel solver of a high frequency single level Fast Multipole Method (FMM) for the Helmholtz equation applied to acoustic scattering. The developed solution uses multiple GPUs to tackle the compute bound steps of the FMM (aggregation, disaggregation, and near interactions) while the CPU handles a memory bound step (translation) using OpenMP. The proposed solver performance is measured on a workstation with two GPUs (NVIDIA GTX 480) and is compared with that of a distributed memory solver run on a cluster of 32 nodes (HP BL465c) with an Infiniband network. Some energy efficiency results are also presented in this work. |
Year | DOI | Venue |
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2012 | 10.1016/j.jpdc.2011.07.013 | J. Parallel Distrib. Comput. |
Keywords | Field | DocType |
multiple gpus,nvidia gtx,memory solver,fast multipole method,multi-gpu system,helmholtz equation,hp bl465c,developed solution,single level fmm,infiniband network,proposed solver performance,acoustic scattering solver,heterogeneous parallel solver,gpgpu | Central processing unit,InfiniBand,Computer science,Parallel computing,Workstation,Distributed memory,Helmholtz equation,Computational science,General-purpose computing on graphics processing units,Fast multipole method,Solver | Journal |
Volume | Issue | ISSN |
72 | 9 | 0743-7315 |
Citations | PageRank | References |
5 | 0.64 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Miguel LóPez-PortuguéS | 1 | 19 | 3.93 |
JesúS A. LóPez-FernáNdez | 2 | 24 | 5.46 |
Jonatan MenéNdez-Canal | 3 | 5 | 0.64 |
Alberto RodríGuez-Campa | 4 | 9 | 1.21 |
José Ranilla | 5 | 242 | 29.11 |