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    • 3. 发明授权
    • Forming statistical model of independently variable parameters for timing analysis
    • 形成时间分析独立变量参数的统计模型
    • US07684969B2
    • 2010-03-23
    • US11219205
    • 2005-09-02
    • Peter A. HabitzMark R. LasherWilliam J. Livingstone
    • Peter A. HabitzMark R. LasherWilliam J. Livingstone
    • G06F17/50G06F9/45
    • G06F17/5022
    • Forming of a statistical model for a set of independently variable parameters for analysis of a circuit design is disclosed. In one embodiment, a method includes establishing a timing model including delay and delay changes due to process parameter variations (Pi) that impact timing; selecting an element of the circuit design that dominates circuit delay in the timing model; determining a delay sensitivity of each of a set of derived process parameters (Vj) for the element that are linear combinations of the process parameter variations (Pi); and selecting only those derived process parameters with a high sensitivity for use in the statistical model. The invention simplifies the statistical model and reduces the number of calculations require for timing analysis. A method of performing a timing analysis using the simplified statistical model is also disclosed.
    • 公开了一组用于电路设计分析的独立可变参数的统计模型的形成。 在一个实施例中,一种方法包括建立包括由于影响定时的过程参数变化(Pi)引起的延迟和延迟变化的定时模型; 选择在时序模型中支配电路延迟的电路设计元素; 确定作为所述过程参数变化(Pi)的线性组合的所述元素的一组导出过程参数(Vj)中的每一个的延迟灵敏度; 并仅选择具有高灵敏度的衍生过程参数用于统计模型。 本发明简化了统计模型,并减少了时序分析所需的计算次数。 还公开了使用简化统计模型执行定时分析的方法。
    • 4. 发明授权
    • Prioritizing of nets for coupled noise analysis
    • 耦合噪声分析网优先级
    • US07181711B2
    • 2007-02-20
    • US10908101
    • 2005-04-27
    • Eric A. ForemanPeter A. HabitzGregory M. Schaeffer
    • Eric A. ForemanPeter A. HabitzGregory M. Schaeffer
    • G06F17/50
    • G06F17/5031
    • A system and method of performing microelectronic chip timing analysis, wherein the method comprises identifying failing timing paths in a chip; prioritizing the failing timing paths in the chip according to a size of random noise events occurring in each timing path; attributing a slack credit statistic for all but highest order random noise events occurring in each timing path; and calculating a worst case timing path scenario based on the prioritized failing timing paths and the slack credit statistic. Preferably, the random noise events comprise non-clock events. Moreover, the random noise events may comprise victim/aggressor net groups belonging to different regularity groups. Preferably, the size of random noise events comprises coupled noise delta delays due to the random noise events occurring in the chip.
    • 一种执行微电子芯片定时分析的系统和方法,其中所述方法包括识别芯片中的故障定时路径; 根据每个定时路径中发生的随机噪声事件的大小对芯片中的故障定时路径进行优先级排序; 归因于每个定时路径中发生的所有但最高阶随机噪声事件的松弛信用统计; 以及基于优先顺序的故障定时路径和松弛信用统计量来计算最坏情况的定时路径情景。 优选地,随机噪声事件包括非时钟事件。 此外,随机噪声事件可以包括属于不同规则组的受害者/侵略者网络组。 优选地,由于芯片中发生的随机噪声事件,随机噪声事件的大小包括耦合的噪声增量延迟。