Power consumption of mixed precision in the iterative solution of sparse linear systems
Institute for Applied and Numerical Mathematics 4, Karlsruhe Institute of Technology, Fritz-Erler-Str. 23, 76133 Karlsruhe, Germany
IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011
@inproceedings{anzt2011power,
title={Power consumption of mixed precision in the iterative solution of sparse linear systems},
author={Anzt, H. and Heuveline, V. and Rocker, B. and Castillo, M. and Mayo, R. and Quintana-Orti, E.S. and others},
booktitle={Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on},
pages={829–836},
year={2011},
organization={IEEE}
}
This paper presents a detailed analysis of a mixed precision iterative refinement solver applied to a linear system obtained from the 2D discretization of a fluid flow problem. The total execution time and energy need of different soft- and hardware implementations are measured and compared with those of a plain GMRES-based solver in double precision. The time and energy consumption of individual parts of the algorithm are monitored as well, enabling a deeper insight and the possibility of optimizing the energy consumption of the code on a general-purpose multi-core architecture and systems accelerated by a graphics processor.
December 14, 2011 by hgpu
