基于精确分析统计产量梯度的离散栅极尺寸和阈值电压分配的有效算法

S. Ramprasath, V. Vasudevan
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引用次数: 2

摘要

在本文中,我们推导了一个简单而准确的表达式,用于表示由于栅极延迟分布的变化而引起的时序产率的变化。它是基于我们已经导出的电路和路径延迟的矩的解析界。在此基础上,我们提出了计算效率高的算法(1)离散门尺寸和(2)同时门尺寸和阈值电压(VT)分配,使电路在参数变化下满足时序良率规范。在基于梯度的时序产率优化算法中使用这种分析产率梯度,与数值方法相比,在达到相同的最终产率的情况下,运行时间有了显著改善。它还允许我们在每次迭代中更有效地探索更大的搜索空间,这在同时调整大小和VT分配的情况下是必需的。我们还提出了在每次迭代中调整/改变多个门的VT的启发式方法。这使得优化大型电路的时序良率成为可能。在ITC ' 99基准测试上的结果表明,所提出的多节点调整算法在运行时具有显著的改进,并且具有边际平均面积损失,并且不影响最终产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Algorithms for Discrete Gate Sizing and Threshold Voltage Assignment Based on an Accurate Analytical Statistical Yield Gradient
In this article, we derive a simple and accurate expression for the change in timing yield due to a change in the gate delay distribution. It is based on analytical bounds that we have derived for the moments of the circuit and path delay. Based on this, we propose computationally efficient algorithms for (1) discrete gate sizing and (2) simultaneous gate sizing and threshold voltage (VT) assignment so that the circuit meets a timing yield specification under parameter variations. The use of this analytical yield gradient within a gradient-based timing yield optimization algorithm results in a significant improvement in the runtime as compared to the numerical method, while achieving the same final yield. It also allows us to explore a larger search space in each iteration more efficiently, which is required in the case of simultaneous resizing and VT assignment. We also propose heuristics for resizing/changing the VT of multiple gates in each iteration. This makes it possible to optimize the timing yield for large circuits. Results on ITC ’99 benchmarks show that the proposed multinode resizing algorithm results in a significant improvement in the runtime with a marginal average area penalty and no cost to the final yield achieved.
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