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Mixed-Precision For Energy Efficient Computations


Workshop: WHPC: Building Community, Building Careers

Authors: Gülçin Gedik (Technical University Dresden; Umeå Universitet, Sweden); Robert Schöne (Technical University Dresden); and Roman Iakymchuk (Umeå Universitet, Sweden)

Abstract: As simulations become more realistic, the pursuit of higher accuracy results in extended computation times and substantial energy consumption. This study explores mixed-precision computing as a promising strategy to address these challenges, leveraging computer arithmetic tools to optimize performance. To do so, we used Reactor Simulator and LULESH benchmarks as case studies to evaluate the potential of mixed-precision strategies to reduce both time-to-solution and energy-to-solution. For Reactor Simulator, we achieved more then 30 % reduction in both metrics without compromising accuracy. Similarly, results for LULESH demonstrated improvements of up to 31.5 % in time-to-solution and 25.6 % savings in energy-to-solution.


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