Modified Force-Directed Scheduling for Peak and Average Power Optimization using Multiple Supply-Voltages

Atef Allam, J. Ramanujam
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引用次数: 12

Abstract

In this paper, we consider the problem of peak and average power optimization in high-level synthesis. We focus on the scheduling task under timing constraint using supply voltage scaling since it is considered as the most efficient technique for reducing power consumptions in CMOS circuits. We propose a two-phase heuristic for peak and average power minimization using multiple supply voltages scheduling technique. The first phase is the modified power-force-directed scheduling (MPFDS) heuristic based on the well-known force-directed scheduling technique. The second phase is a post-processing procedure (power-area-saving) that is a revisit of the output schedule from the first phase in order to exploit the available rooms to get more power and/or the operating resources minimization. Results show that our proposed heuristic is capable of achieving near-optimal results with polynomial complexity
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基于多电源电压的峰值和平均功率优化的改进力定向调度
本文研究了高阶综合中峰值和平均功率的优化问题。我们关注的是在时序约束下使用电源电压缩放的调度任务,因为它被认为是降低CMOS电路功耗的最有效技术。提出了一种利用多电源电压调度技术实现峰值和平均功率最小化的两相启发式算法。第一阶段是基于力定向调度技术的改进的功率-力定向调度(MPFDS)启发式算法。第二阶段是后处理过程(节省电力面积),它是对第一阶段的输出计划的重新访问,以便利用可用的房间来获得更多的电力和/或操作资源最小化。结果表明,我们提出的启发式算法能够以多项式的复杂度获得接近最优的结果
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