vlsi芯片的周期时间和松弛优化

Christoph Albrecht, B. Korte, Jürgen Schietke, J. Vygen
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引用次数: 59

摘要

我们考虑寻找最佳时钟调度的问题,即时钟信号在VLSI芯片锁存器处的最佳到达时间。我们描述了一个通用模型,其中包括所有以前考虑过的模型。然后,我们将展示如何优化周期时间,并在数据路径和时钟树路径上最佳地平衡松弛。寻找具有最优周期时间的时钟调度的问题,以前通过线性规划或二分搜索解决,使用对有向图中的负电路的测试作为子程序。我们首次证明了直接组合算法最优地解决了这个问题。顺便提一下,这为透明锁存器的时序分析提供了一种新的有效方法。此外,我们将该算法扩展到松弛平衡问题:为了使芯片对路由绕道,工艺变化和制造偏差不那么敏感,希望具有尽可能少的关键路径。我们展示了如何在定义良好的意义上找到具有最小关键路径数(最优松弛分布)的时钟调度。我们展示了如何获得尽可能大的时钟到达时间间隔,而不是固定的码头到达时间。这可以被认为是时钟树路径上的松弛。确实,我们可以在所有数据路径和时钟树路径上找到同时优化松弛的全局最优。所有这些都是通过基于参数最短路径的高效网络优化算法完成的。我们使用最新的IBM处理器芯片的计算结果表明,除了循环时间的显著改善之外,关键路径的数量也显著减少。即使对于最大的设计,运行时间也是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cycle time and slack optimization for VLSI-chips
We consider the problem of finding an optimal clock schedule, i.e. optimal arrival times for clock signals at latches of a VLSI chip. We describe a general model which includes all previously considered models. Then we show how to optimize the cycle time and optimally balance slacks on data paths and on clocktree paths. The problem of finding a clock schedule with the optimum cycle time was solved before, either by linear programming or by binary search, using a test for negative circuits in a digraph as a subroutine. We show for the first time that a direct combinatorial algorithm solves this problem optimally. Incidentally, this yields a new efficient method for timing analysis with transparent latches. Moreover, we extend this algorithm to the slack balancing problem: To make the chip less sensitive to routing detours, process variations and manufacturing skew it is desirable to have as few critical paths as possible. We show how to find the clock schedule with minimum number of critical paths (optimum slack distribution) in a well-defined sense. Rather than fixed dock arrival times we show how to obtain as large as possible intervals for the clock arrival times. This can be considered as slack on clocktree paths. Indeed, we can find the global optimum of simultaneous optimization of slacks on all data paths and clocktree paths. All the above is done by very efficient network optimization algorithms, based on parametric shortest paths. Our computational results with recent IBM processor chips show that the number of critical paths decreases dramatically, in addition to a considerable improvement of the cycle time. The running times are reasonable even for the largest designs.
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