GPU Cluster for High Performance Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
TeraFLOP computing on a desktop PC with GPUs for 3D CFD
International Journal of Computational Fluid Dynamics - Mesoscopic Methods And Their Applications To CFD
Exploring New Architectures in Accelerating CFD for Air Force Applications
HPCMP-UGC '08 Proceedings of the 2008 DoD HPCMP Users Group Conference
Computing and Visualization in Science
LBM based flow simulation using GPU computing processor
Computers & Mathematics with Applications
hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications
PDP '10 Proceedings of the 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
VECPAR'10 Proceedings of the 9th international conference on High performance computing for computational science
A new approach to the lattice Boltzmann method for graphics processing units
Computers & Mathematics with Applications
Efficient GPU implementation of the linearly interpolated bounce-back boundary condition
Computers & Mathematics with Applications
| Hi-index | 0.00 |
In this paper, we describe the implementation of a multi-graphical processing unit (GPU) fluid flow solver based on the lattice Boltzmann method (LBM). The LBM is a novel approach in computational fluid dynamics, with numerous interesting features from a computational, numerical, and physical standpoint. Our program is based on CUDA and uses POSIX threads to manage multiple computation devices. Using recently released hardware, our solver may therefore run eight GPUs in parallel, which allows us to perform simulations at a rather large scale. Performance and scalability are excellent, the speedup over sequential implementations being at least of two orders of magnitude. In addition, we discuss tiling and communication issues for present and forthcoming implementations.