Acoustic scattering solver based on single level FMM for multi-GPU systems

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.

► We present a heterogeneous acoustic scattering solver based on single level FMM.
► The performance is proved using a PC with 1 Intel i7 930 and 2 NVIDIA GTX 480.
► The runtime is reduced 13x when comparing our solver with the pure CPU one.
► The power consumption is reduced 6x when comparing our solver with the pure CPU one.
► The performance of the solver is comparable to that of a HPC cluster with 160 cores.