Energy Efficiency of Mixed Precision Iterative Refinement Methods using Hybrid Hardware Platforms: An Evaluation of different Solver and Hardware Configurations
AbstractIn 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.
The Engineering Mathematics and Computing Lab (EMCL), directed by Prof. Dr. Vincent Heuveline, is a research group at the Interdisciplinary Center for Scientific Computing (IWR).
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