A multi-GPU implementation of a D2Q37 Lattice Boltzmann code

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