Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms

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.