低功耗下的寄存器分配与绑定

Jui-Ming Chang, Massoud Pedram
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引用次数: 194

摘要

本文描述了一种计算由不同数据值共享的一组寄存器的切换活动的技术。基于已知主输入随机变量的联合概率密度函数(概率密度函数)或给定足够多的输入向量的假设,将最小功耗寄存器分配问题表述为适当定义的兼容图(可传递定向)的最小成本团覆盖。然后使用最大成本低算法最优地解决问题(在多项式时间内)。实验结果证实了该方法在行为综合过程的寄存器分配阶段最小化功耗方面的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Register Allocation and Binding for Low Power
This paper describes a technique for calculating the switching activity of a set of registers shared by different data values. Based on the assumption that the joint pdf (probability density function) of the primary input random variables is known or that a suffficiently large number of input vectors has been given, the register assignment problem for minimum power consumption is formulated as a minimum cost clique covering of an appropriately defined compatibility graph (which is shown to be transitively orientable). The problem is then solved optimally (in polynomial time) using a max-cost ow algorithm. Experimental results confirm the viability and usefulness of the approach in minimizing power consumption during the register assignment phase of the behavioral synthesis process.
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