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On Timing Model Extraction and Hierarchical Statistical Timing Analysis

机译:时序模型提取和分层统计时序分析

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In this paper, we investigate the challenges of applying statistical static timing analysis in hierarchical design flow, where modules supplied by IP vendors are used to hide design details for IP protection and to reduce the complexity of design and verification. For the three basic circuit types, combinational, flip-flop-based, and latch-controlled, we propose methods for extracting timing models that contain interfacing and compressed internal constraints. Using these compact timing models, the runtime of full-chip timing analysis can be reduced, while circuit details from IP vendors are not exposed. We also propose a method for reconstructing correlation between modules during full-chip timing analysis. This correlation cannot be incorporated into timing models because it depends on the layout of the corresponding modules in the chip. In addition, we investigate how to apply the extracted timing models with the reconstructed correlation to evaluate the performance of the complete design. Experiments demonstrate that using the extracted timing models and reconstructed correlation full-chip timing analysis can be several times faster than applying the flattened circuit directly, while the accuracy of statistical timing analysis is still well maintained.
机译:在本文中,我们研究了在分层设计流程中应用统计静态时序分析的挑战,其中IP供应商提供的模块用于隐藏设计细节以进行IP保护并降低设计和验证的复杂性。对于三种基本电路类型(组合,基于触发器和锁存器控制),我们提出了提取包含接口和压缩内部约束的时序模型的方法。使用这些紧凑的时序模型,可以减少全芯片时序分析的运行时间,而不会透露IP供应商的电路细节。我们还提出了一种在全芯片时序分析过程中重构模块之间相关性的方法。该关联不能纳入时序模型,因为它取决于芯片中相应模块的布局。此外,我们研究了如何将提取的时序模型与重构的相关性应用于评估完整设计的性能。实验表明,使用提取的时序模型和重构的相关全芯片时序分析可以比直接应用扁平化电路快几倍,而统计时序分析的准确性仍然得到了很好的保持。

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