Performance and power consumption analysis of Arm Scalable Vector Extension

Abstract

Modern CPUs not only have multiple cores but also support wide single instruction multiple data (SIMD). This trend is expected to grow in the future. In this paper, we examine the effect of the vector length and the number of out-of-order resources on the performance and the power consumption of programs having multiple vector lengths using the Arm Scalable Vector Extension. Based on the performed evaluation, we conclude that using a longer vector length with multicycle vector units leads to up to approximately 30% improvement in performance and 21% decrease in power consumption than when using a shorter vector length.