Power performance analysis of ARM scalable vector extension
Tetsuya Odajima, Yuetsu Kodama, Mitsuhisa Sato · 2018
Recent CPUs not only have multiple cores but also support wide SIMD (Single Instruction Multiple Data) instructions. This trend is expected to continue in the future. In this paper, we evaluate computing performance and energy consumption for multiple vector lengths using the ARM Scalable Vector Extension. From our evaluations, we confirm that a longer vector length with multi-cycle vector units results in up to approximately 38% better performance and 23% lower energy consumption than a shorter vector length.