基于松弛匹配模式的平均情况下性能异步电路

M. Najibi, P. Beerel
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引用次数: 15

摘要

本文研究了平均情况下条件异步电路的松弛匹配问题。电路的行为使用马尔可夫链来建模,该链控制着具有潜在不同性能要求的不同操作模式之间的切换。给定模式切换的概率和每种模式所需的周期时间,在电路中插入最小数量的松弛匹配缓冲器,从而实现总体平均周期时间的上界。该问题被表述为一个混合整数线性规划,并通过松弛法求解。在一个新的基准电路上的实验结果表明,与传统方法相比,该方法显著节省了松弛匹配缓冲器,并阐明了这种新公式最有利的电路类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slack matching mode-based asynchronous circuits for average-case performance
This paper addresses the problem of slack matching conditional asynchronous circuits for average-case performance. The behavior of the circuit is modeled using a Markov chain which governs switching between distinct modes of operations with potentially different performance requirements. Given the probability of mode switchings and desired cycle times for each mode, a minimum number of slack-matching buffers is inserted into the circuit such that an upper bound on the overall average cycle time is achieved. The problem is formulated as a Mixed Integer Linear Program and solved through relaxation. Experimental results on a new benchmark of circuits show a significant savings of slack matching buffers compared with the traditional approach and illuminate the type of circuits for which this new formulation is most beneficial.
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