文献类型：期刊文献

英文题名：A Unified Scheduling Approach for Power and Resource Optimization With Multiple Vdd or/and Vth in High-Level Synthesis

作者：Hao, Cong[1];Wang, Nan[2];Yoshimura, Takeshi[1]

机构：[1]Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka 8080135, Japan;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2017

卷号：36

期号：12

起止页码：2030

外文期刊名：IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

收录：;EI(收录号：20180404665250);WOS:【SCI-EXPANDED(收录号:WOS:000416232200009)】；

基金：The work of C. Hao and T. Yoshimura was supported by KAKENHI under Grant 26420323. The work of N. Wang was supported by the National Natural Science Foundation of China under Grant 61604054. This work is an extension from [1] proposed in ASP-DAC 2013. This paper was recommended by Associate Editor J. Cortadella.

语种：英文

外文关键词：High-level synthesis (HLS); multiple supply voltage; multiple threshold voltage; power minimization; scheduling

摘要：In this paper, we focus on the low-power scheduling problem with multiple threshold and/or supply voltage technologies in high-level synthesis. We propose a unified scheduling approach which is applicable to various optimization problems, including: 1) dynamic power and resource usage co-optimization; 2) leakage power optimization; and 3) dynamic power and leakage power co-optimization. To deal with different objectives with high flexibility, three problems are divided into two common subproblems including delay assignment and resource density variance minimization, then a vertex potential-based mobility allocation model is proposed to solve two subproblems simultaneously. Experimental results show that, for dynamic power and resource co-optimization, our scheduling approach produces optimum solutions for all six benchmarks with 15 groups of data; for leakage power optimization it also greatly excels the latest existing work, by 20% leakage power reduction and 52 times speedup. Besides, for dynamic and leakage power co-optimization, the Pareto solutions are studied.