We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluster based on Nvidia Fermi processors. We analyze how to optimize the algorithm for GP-GPU architectures, describe the implementation choices that we have adopted and compare our performance results with an implementation optimized for latest generation multi-core CPUs. Our program runs at ≈ 30% of the double-precision peak performance of one GPU and shows almost linear scaling when run on the multi-GPU cluster. © 2012 Springer-Verlag.
A multi-GPU implementation of a D2Q37 Lattice Boltzmann code
MANTOVANI, Filippo;PIVANTI, Marcello;SCHIFANO, Sebastiano Fabio;TRIPICCIONE, Raffaele
2012
Abstract
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluster based on Nvidia Fermi processors. We analyze how to optimize the algorithm for GP-GPU architectures, describe the implementation choices that we have adopted and compare our performance results with an implementation optimized for latest generation multi-core CPUs. Our program runs at ≈ 30% of the double-precision peak performance of one GPU and shows almost linear scaling when run on the multi-GPU cluster. © 2012 Springer-Verlag.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
