Energy-aware instruction-set customization for real-time embedded multiprocessor systems

摘要

This paper presents a method to customize instruction-set for configurable multiprocessors under a given silicon area budget so that total dynamic energy consumption is minimized when dynamic voltage and frequency scaling (DVFS) is employed. The proposed method is based on Mixed-Integer Linear Programming (MILP) to select the optimal processor configurations for real-time tasks from custom instruction candidates. We have evaluated the proposed method using real-life applications and commercial configurable processors. The results show that the optimally configured multiprocessors by our method has up to 23.2% reduction of dynamic energy consumption in comparison with the multiprocessors configured by a conventional approach.