论通过广度系数矩阵实现寄存器最小化的重定时

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
H. Emmanuel Muñoz;Jorge Rivera;Susana Ortega-Cisneros;Diego H. Gaytán-Rivas
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引用次数: 0

摘要

这封信集中在寄存器最小化的重定时技术。该技术以最小成本线性问题的形式呈现,在具有多个输出边的数字电路中,对模型节点(功能块)提出了扇出小部件的使用,以获得具有整数值的重新定时解决方案$r(V)$。该技术的目标是在可行性和时钟周期约束下最小化${\mathrm { COST}}^{\prime } =\sum _{e} \beta (e)\omega _{r} (e)$函数。宽度系数$\beta (e)$的确定对于大型数字电路来说可能是麻烦的,因为在文献中没有合适的方法。基于图论和线性代数的一些概念,提出了一种计算宽度系数的算法。为了说明该算法的性能,给出了一个例子,因为宽度系数的计算是轻松确定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Retiming for Register Minimization by Means of Breadth Coefficients Matrix
This letter is focused in the retiming technique for register minimization. This technique was presented as a minimum-cost linear problem, where the use of a fanout gadget was proposed to the model nodes (the functional blocks) in a digital circuit with multiple output edges to obtain a retiming solution $r(V)$ with integer values. The goal of this technique is to minimize the function ${\mathrm { COST}}^{\prime } =\sum _{e} \beta (e)\omega _{r} (e)$ subject to feasibility and clock period constraints. The determination of the breadth coefficients $\beta (e)$ could be cumbersome for large digital circuits, as there is no suitable method in the literature. Based on some concepts from graph theory and linear algebra, an algorithm for computing the breadth coefficients is proposed. An example is presented in order to illustrate the performance of the proposed algorithm as calculations for the breadth coefficients are effortless determined.
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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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