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    • 1. 发明申请
    • System and method for correlated process pessimism removal for static timing analysis
    • 静态时序分析相关过程悲观消除的系统和方法
    • US20050066297A1
    • 2005-03-24
    • US10665273
    • 2003-09-18
    • Kerim KalafalaPeihua QiDavid HathawayAlexander SuessChandramouli Visweswariah
    • Kerim KalafalaPeihua QiDavid HathawayAlexander SuessChandramouli Visweswariah
    • G06F9/45G06F17/50
    • G06F17/5031
    • A method of removing pessimism in static timing analysis is described. Delays are expressed as a function of discrete parameter settings allowing for both local and global variation to be taken in to account. Based on a specified target slack, each failing timing test is examined to determine a consistent set of parameter settings which produces the worst possible slack. The analysis is performed on a path basis. By considering only parameters which are in common to a particular data/clock path-pair, the number of process combinations that need to be explored is reduced when compared to analyzing all combinations of the global parameter settings. Further, if parameters are separable and linear, worst-case variable assignments for a particular clock/data path pair can be computed in linear time by independently assigning each parameter value. In addition, if available, the incremental delay change with respect to each physically realizable process variable may be used to project the worst-case variable assignment on a per-path basis without the need for performing explicit corner enumeration.
    • 描述了静态时序分析中消除悲观情绪的方法。 延迟表示为离散参数设置的函数,允许将本地和全局变量都用于账户。 根据指定的目标松弛,检查每个失败的定时测试,以确定一组一致的参数设置,从而产生最差的松弛。 分析以路径为基础进行。 通过仅考虑与特定数据/时钟路径对共同的参数,与分析全局参数设置的所有组合相比,需要探索的进程组合的数量减少。 此外,如果参数是可分离的和线性的,则通过独立地分配每个参数值,可以在线性时间内计算特定时钟/数据路径对的最差情况变量分配。 另外,如果可用,可以使用相对于每个物理上可实现的过程变量的增量延迟变化来在每个路径基础上投射最坏情况的变量赋值,而不需要执行明确的角点枚举。
    • 4. 发明授权
    • System and method for correlated process pessimism removal for static timing analysis
    • 静态时序分析相关过程悲观消除的系统和方法
    • US07117466B2
    • 2006-10-03
    • US10665273
    • 2003-09-18
    • Kerim KalafalaPeihua QiDavid J. HathawayAlexander J. SuessChandramouli Visweswariah
    • Kerim KalafalaPeihua QiDavid J. HathawayAlexander J. SuessChandramouli Visweswariah
    • G06F17/50
    • G06F17/5031
    • A method of removing pessimism in static timing analysis is described. Delays are expressed as a function of discrete parameter settings allowing for both local and global variation to be taken in to account. Based on a specified target slack, each failing timing test is examined to determine a consistent set of parameter settings which produces the worst possible slack. The analysis is performed on a path basis. By considering only parameters which are in common to a particular data/clock path-pair, the number of process combinations that need to be explored is reduced when compared to analyzing all combinations of the global parameter settings. Further, if parameters are separable and linear, worst-case variable assignments for a particular clock/data path pair can be computed in linear time by independently assigning each parameter value. In addition, if available, the incremental delay change with respect to each physically realizable process variable may be used to project the worst-case variable assignment on a per-path basis without the need for performing explicit corner enumeration.
    • 描述了静态时序分析中消除悲观情绪的方法。 延迟表示为离散参数设置的函数,允许将本地和全局变量都用于账户。 根据指定的目标松弛,检查每个失败的定时测试,以确定一组一致的参数设置,从而产生最差的松弛。 分析以路径为基础进行。 通过仅考虑与特定数据/时钟路径对共同的参数,与分析全局参数设置的所有组合相比,需要探索的进程组合的数量减少。 此外,如果参数是可分离的和线性的,则通过独立地分配每个参数值,可以在线性时间内计算特定时钟/数据路径对的最差情况变量分配。 另外,如果可用,可以使用相对于每个物理上可实现的过程变量的增量延迟变化来在每个路径基础上投射最坏情况的变量赋值,而不需要执行明确的角点枚举。