We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Parallelization of the FMM on distributed-memory GPGPU systems for acoustic-scattering prediction.
- Authors
López-Portugués, Miguel; López-Fernández, Jesús; Ranilla, José; Ayestarán, R.; Las-Heras, Fernando
- 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.
- Subjects
HELMHOLTZ equation; MICROCOMPUTER workstations (Computers); ELLIPTIC differential equations; WAVE equation; FIBER Distributed Data Interface (Computer network standard); COMPUTER network protocols
- Publication
Journal of Supercomputing, 2013, Vol 64, Issue 1, p17
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-012-0786-6