Minimum area retiming with equivalent initial states

N. Maheshwari, S. Sapatnekar
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引用次数: 17

Abstract

Traditional minimum area retiming algorithms attempt to achieve their prescribed objective with no regard to maintaining the initial state of the system. This issue is important for circuits such as controllers, and our work addresses this problem. The procedure described generates bounds on the retiming variables that guarantee an equivalent initial state after retiming. A number of possible sets of bounds can be derived, and each set is used to solve a minimum area retiming problem that is set up as a 0/1 mixed integer linear program, using a new technique that models the maximal sharing of flip-flops at latch outputs. The best solution is found through enumeration of these sets, terminated on the achievement of a calculated lower bound. Experimental results show that after a small number of enumerations, optimal or near-optimal results are achievable.
具有等效初始状态的最小面积重定时
传统的最小面积重定时算法试图在不考虑维持系统初始状态的情况下实现其规定的目标。这个问题对于控制器等电路很重要,我们的工作解决了这个问题。所描述的过程生成重定时变量的边界,以保证在重定时后具有等效的初始状态。可以推导出许多可能的边界集合,并且每个集合用于解决一个最小面积重定时问题,该问题被设置为0/1混合整数线性规划,使用一种新的技术来模拟锁存器输出的最大共享触发器。通过枚举这些集合找到最优解,在达到计算的下界时终止。实验结果表明,经过少量的枚举,可以获得最优或接近最优的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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