A projection-based immersed boundary method is dominated by sparse linear algebra routines. Using the open-source Cusp library, we observe a speedup (with respect to a single CPU core) which reflects the constraints of a bandwidth-dominated problem on the GPU. Nevertheless, GPUs offer the capacity to solve large problems on commodity hardware. This work includes validation and a convergence study of the GPU-accelerated IBM, and various optimizations.
@article{arxiv.1109.3524,
title = {cuIBM -- A GPU-accelerated Immersed Boundary Method},
author = {Simon K Layton and Anush Krishnan and Lorena A. Barba},
journal= {arXiv preprint arXiv:1109.3524},
year = {2016}
}
Comments
Extended paper post-conference, presented at the 23rd International Conference on Parallel Computational Fluid Dynamics (http://www.parcfd.org), ParCFD 2011, Barcelona (unpublished)