Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms
Karlsruhe Institute of Technology (KIT), Institute for Applied and Numerical Mathematics 4, Fritz-Erler-Str. 23, 76133 Karlsruhe, Germany
Computer Science – Research and Development, Vol. 25, No. 3. (1 September 2010), pp. 141-148
@article{anztenergy,
title={Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms},
author={Anzt, H. and Rocker, B. and Heuveline, V.},
journal={Computer Science-Research and Development},
pages={1–8},
issn={1865-2034},
publisher={Springer}
}
In this paper we evaluate the possibility of using mixed precision algorithms on different hardware platforms to obtain energy-efficient solvers for linear systems of equations. Our test-cases arise in the context of computational fluid dynamics. Therefore, we analyze the energy efficiency of common cluster nodes and a hybrid, GPU-accelerated cluster node, when applying a linear solver, that can benefit from the use of different precision formats. We show the high potential of hardware-aware computing in terms of performance and energy efficiency.
February 22, 2011 by hgpu
