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A framework for energy and transient power reduction during behavioral synthesis

机译：行为综​​合过程中减少能源和瞬态功率的框架

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In battery driven portable applications, the minimization of energy, average power, peak power, and peak power differential are equally important to improve reliability and efficiency. The peak power and the peak power differential drive the transient characteristics of a CMOS circuit. In this paper, we propose a framework for the simultaneous reduction of energy and transient power during behavioral synthesis. A new metric called "cycle power function" (CPF) is defined which captures the transient power characteristics as an equally weighted sum of the normalized mean cycle power and the normalized mean cycle differential power. Minimizing CPF using multiple supply voltages and dynamic frequency clocking under resource constraints results in the reduction of both energy and transient power. Based on the above, we develop a new datapath scheduling algorithm called CPF-scheduler which attempts at power and energy minimization by minimizing the CPF parameter during the scheduling process. The type and number of functional units available become the set of resource constraints for the scheduler. Experimental results indicate that the proposed scheduler achieves significant reductions in terms of power and energy.
机译：在电池驱动的便携式应用中，最小化能量，平均功率，峰值功率和峰值功率差对于提高可靠性和效率同样重要。峰值功率和峰值功率差驱动CMOS电路的瞬态特性。在本文中，我们提出了一种在行为综合过程中同时降低能量和瞬态功率的框架。定义了一个称为“周期功率函数”（CPF）的新度量，该度量将瞬态功率特性捕获为归一化平均周期功率和归一化平均周期差分功率的均等加权和。在资源受限的情况下，使用多个电源电压和动态频率时钟来最小化CPF会导致能量和瞬态功率的降低。基于以上所述，我们开发了一种称为CPF-scheduler的新数据路径调度算法，该算法通过在调度过程中最小化CPF参数来尝试降低功率和能量。可用功能单元的类型和数量成为调度程序的一组资源约束。实验结果表明，提出的调度程序在功率和能量方面实现了显着的降低。

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