Provably good algorithm for low power consumption with dual supply voltages

Chunhong Chen, M. Sarrafzadeh
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引用次数: 32

Abstract

The dual-voltage approach has emerged as an effective and practical technique for power reduction. In this paper, we explore power optimization with dual supply voltages under given timing constraints. By analyzing the relations among the timing slack, delay and power consumption in a given circuit, we relate the voltage-scaling power optimization to the maximal weighted independent set (MWIS) problem, which is polynomial-time solvable on a transitive graph. Then we develop a provably good lower-bound algorithm based on MWIS to generate the lower bound of the power consumption. Also, we propose a fast approach to predict the optimum supply voltages. The maximum power reduction is obtained by using a modified lower-bound algorithm with optimum voltages. Experimental results show that the resulting lower bound is tight for most circuits and that the estimated optimum supply voltage is exactly, or very close to, the best choice of actual voltages.
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可证明的好算法低功耗与双电源电压
双电压方法已成为一种有效而实用的降低功率的技术。本文研究了给定时序约束下双电源电压下的功率优化问题。通过分析给定电路中时序松弛、时延和功耗之间的关系,将电压标度功率优化问题与在传递图上多项式时间可解的最大加权独立集(MWIS)问题联系起来。在此基础上,我们开发了一种可证明良好的基于MWIS的下界算法来生成功耗的下界。此外,我们还提出了一种快速预测最佳电源电压的方法。采用一种改进的具有最优电压的下界算法获得最大的功耗降低。实验结果表明,所得到的下限对于大多数电路来说是严格的,而估计的最佳电源电压完全或非常接近实际电压的最佳选择。
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