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arXiv · 2606.27949

Mixed-Precision For Energy Efficient Computations

Gülçin Gedik·Robert Schöne·Roman Iakymchuk
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Abstract

As simulations grow more realistic, the pursuit of higher accuracy results in extended computation times and substantial power consumption. This study explores mixed-precision computing as a promising strategy to address these challenges, leveraging computer arithmetic tools to optimize performance. Using Reactor Simulator and LULESH benchmarks as case studies, we evaluated the potential of mixed-precision strategies to reduce both time-to-solution and energy-to-solution. For Reactor Simulator, we achieved a 30% reduction in both metrics without compromising accuracy. Similarly, for LULESH, results demonstrated up to a 30% improvement in time-to-solution and a 25% reduction in energy-to-solution.

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Gülçin Gedik, Robert Schöne, Roman Iakymchuk. 2026-06-26. Mixed-Precision For Energy Efficient Computations. https://doi.org/10.5281/zenodo.17550110

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