Lattice QCD calculations were one of the first applications to show the potential of GPUs in the area of high performance computing. Our interest is to find ways to effectively use GPUs for lattice calculations using the overlap operator. The large memory footprint of these codes requires the use of multiple GPUs in parallel. In this paper we show the methods we used to implement this operator efficiently. We run our codes both on a GPU cluster and a CPU cluster with similar interconnects. We find that to match performance the CPU cluster requires 20-30 times more CPU cores than GPUs.
@article{arxiv.1106.4964,
title = {Efficient implementation of the overlap operator on multi-GPUs},
author = {Andrei Alexandru and Michael Lujan and Craig Pelissier and Ben Gamari and Frank X. Lee},
journal= {arXiv preprint arXiv:1106.4964},
year = {2011}
}
Comments
8 pages with 10 figures; accepted for presentation at the 2011 Symposium on Application Accelerators in High Performance Computing (Knoxville, July 19-20, 2011)