Parallelization of the FMM on distributed-memory GPGPU systems for acoustic-scattering prediction |
| |
| Authors: | Miguel López-Portugués Jesús A López-Fernández José Ranilla R G Ayestarán Fernando Las-Heras |
| |
| Affiliation: | 1. Departamento de Ingeniería Eléctrica, Electrónica, de Computadores y de Sistemas, Universidad de Oviedo, Gijón, Spain
2. Departamento de Informática, Universidad de Oviedo, Gijón, Spain
|
| |
| Abstract: | In this work, we carry out the parallelization of the single level Fast Multipole Method (FMM) for solving acoustic-scattering problems (using the Helmholtz equation) on distributed-memory GPGPU systems. With the aim of enlarging the scope of feasible simulations, the presented solution combines the techniques developed for our distributed-memory CPU solver with our shared-memory GPGPU solver. The performance of the developed solution is proved using two different GPGPU clusters: the first one consists of two workstations with NVIDIA GTX 480 GPUs linked by a Gigabit Ethernet network, and the second one comprises four nodes with NVIDIA Tesla M2090 GPUs linked by an Infiniband network. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
