文献类型：期刊文献

英文题名：Integrating operation scheduling and binding for functional unit power-gating in high-level synthesis

作者：Wang, Nan[1];Chen, Song[2];Ma, Zhiyuan[3];Ling, Xiaofeng[1];Zhu, Yu[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Univ Sci & Technol China, Dept Elect Sci & Technol, Hefei 230027, Anhui, Peoples R China;[3]Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Sichuan, Peoples R China

年份：2019

卷号：65

起止页码：308

外文期刊名：INTEGRATION-THE VLSI JOURNAL

收录：;EI(收录号：20180104597783);WOS:【SCI-EXPANDED(收录号:WOS:000474316700028)】；

基金：This work was supported by the National Natural Science Foundation of China (NSFC) under Grant 61604054 and Shanghai Natural Science Foundation Project under Grant 15ZR1408700. The work of S. Chen was supported by the NSFC under Grant 61732020.

语种：英文

外文关键词：Leakage energy; Functional unit power-gating; Scheduling and binding; Power domain

摘要：Power-gating-aware design has been an active area of research in the last decade, aiming at reducing power dissipation while meeting a desired system throughput. In this study, an algorithm integrating both scheduling and binding processes is developed with the functional unit (FU) power-gating technique, to achieve maximum leakage energy reduction under both performance and resource constraints. Firstly, the possible leakage energy reductions of all idle intervals are analyzed by evaluating the operation mobilities. Secondly, a split network indicating the leakage energy reduction in each idle interval is constructed, and a min-cost flow-based algorithm is conducted to this network to evaluate the total leakage energy saving from power-gating FUs; operations are scheduled to the clock cycles and bound to FUs with a maximization of leakage energy saving. Finally, proper FUs are clustered under power domain constraints to maximize the leakage energy saving while reducing the area and wirelength penalties for fine grain power-gating. Experimental results show the effectiveness of our proposed algorithms in saving leakage energy.