Mixed-Precision For Energy Efficient Computations

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.