Name
Title | ||
|---|---|---|
Parallelization of the FMM on distributed-memory GPGPU systems for acoustic-scattering prediction |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11227-012-0786-6 | The Journal of Supercomputing |
Keywords | Field | DocType |
FMM,GPGPU,Heterogeneous,Distributed memory,Aircraft noise control | InfiniBand,Computer science,Parallel computing,Distributed memory,Workstation,Helmholtz equation,Fast multipole method,Gigabit Ethernet,General-purpose computing on graphics processing units,Solver | Journal |
Volume | Issue | ISSN |
64 | 1 | 0920-8542 |
Citations | PageRank | References |
4 | 0.57 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel LóPez-PortuguéS | 1 | 19 | 3.93 |
| JesúS A. LóPez-FernáNdez | 2 | 24 | 5.46 |
| José Ranilla | 3 | 242 | 29.11 |
| R. G. Ayestarán | 4 | 13 | 2.09 |
| Fernando Las-Heras Andres | 5 | 20 | 9.79 |