Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Rapport (Rapport De Recherche) Année : 2012

Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method

Résumé

A fast multipole method (FMM) for asymptotically smooth kernel functions (1/r, 1/r^4, Gauss and Stokes kernels, radial basis functions, etc.) based on a Chebyshev interpolation scheme has been introduced in [Fong et al., 2009]. The method has been extended to oscillatory kernels (e.g., Helmholtz kernel) in [Messner et al., 2012]. Beside its generality this FMM turns out to be favorable due to its easy implementation and its high performance based on intensive use of highly optimized BLAS libraries. However, one of its bottlenecks is the precomputation of the multiple-to-local (M2L) operator, and its higher number of floating point operations (flops) compared to other FMM formulations. Here, we present several optimizations for that operator, which is known to be the costliest FMM operator. The most efficient ones do not only reduce the precomputation time by a factor up to 340 but they also speed up the matrix-vector product. We conclude with comparisons and numerical validations of all presented optimizations.
Fichier principal
Vignette du fichier
main.pdf (543.87 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00746089 , version 1 (27-10-2012)
hal-00746089 , version 2 (20-11-2012)

Identifiants

Citer

Matthias Messner, Bérenger Bramas, Olivier Coulaud, Eric Darve. Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method. [Research Report] 2012, pp.22. ⟨hal-00746089v2⟩
759 Consultations
464 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More