Low power synthesis based on information theoretic measures

E. Fomina, A. Keevallik, A. Sudnitson
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引用次数: 1

Abstract

The synthesis of circuits with reduced power consumption has grown more and more important over the last years. In this paper, we address the problem of reduction of power dissipation using dynamic power management techniques. The problem of low power synthesis corresponds to an optimal decomposition of a finite state machine reduced to choice of partitions on the set of states of prototype machine. For evaluation of the networks, the informational modeling based on entropy measure is considered. It enables one to enhance the decomposition partition search for low power synthesis.
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基于信息论措施的低功耗综合
在过去的几年里,降低功耗的电路合成变得越来越重要。在本文中,我们解决了使用动态电源管理技术降低功耗的问题。低功耗综合问题对应于有限状态机的最优分解问题,即在原型机的状态集上选择分区。对于网络的评价,考虑了基于熵测度的信息建模。它使人们能够增强低功耗合成的分解分区搜索。
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