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    Pruning-based variation-aware design
    2.
    发明授权
    Pruning-based variation-aware design 有权
    基于修剪的变异感知设计

    公开(公告)号：US08074189B2

    公开(公告)日：2011-12-06

    申请号：US12366239

    申请日：2009-02-05

    申请人： Trent Lorne McConaghy ,  Jeffrey Dyck ,  Samer Sallam ,  Kristopher Breen ,  Joel Cooper ,  Jiandong Ge

    发明人： Trent Lorne McConaghy ,  Jeffrey Dyck ,  Samer Sallam ,  Kristopher Breen ,  Joel Cooper ,  Jiandong Ge

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5036 ,  G06F2217/10

    摘要： For application to analog, mixed-signal, and custom digital circuits, a system and method to begin with a complex problem description that encompasses many variables from statistical manufacturing, the circuit's environment, and the circuit's design parameters, but then apply techniques to prune the scope of the problem to make it manageable for manual design and more efficient automated design, and finally use that pruned problem for more efficient and effective design.

    摘要翻译： 对于应用于模拟，混合信号和定制数字电路的系统和方法，从复杂的问题描述开始，包括统计制造，电路环境和电路设计参数中的许多变量，然后应用技术来修剪 问题的范围使其易于手动设计和更有效的自动化设计，最后使用修剪的问题来更有效和有效的设计。

    Global statistical optimization, characterization, and design
    3.
    发明授权
    Global statistical optimization, characterization, and design 有权
    全局统计优化，表征和设计

    公开(公告)号：US08024682B2

    公开(公告)日：2011-09-20

    申请号：US12396972

    申请日：2009-03-03

    申请人： Trent Lorne McConaghy ,  Pat Drennan ,  Joel Cooper ,  Jeffrey Dyck ,  David Callele ,  Shawn Rusaw ,  Samer Sallam ,  Jiangdon Ge ,  Anthony Arkles ,  Kristopher Breen ,  Sean Cocks

    发明人： Trent Lorne McConaghy ,  Pat Drennan ,  Joel Cooper ,  Jeffrey Dyck ,  David Callele ,  Shawn Rusaw ,  Samer Sallam ,  Jiangdon Ge ,  Anthony Arkles ,  Kristopher Breen ,  Sean Cocks

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5063

    摘要： For application to analog, mixed-signal, and custom digital circuits, a system and method to do: global statistical optimization (GSO), global statistical characterization (GSC), global statistical design (GSD), and block-specific design. GSO can perform global yield optimization on hundreds of variables, with no simplifying assumptions. GSC can capture and display mappings from design variables to performance, across the whole design space. GSC can handle hundreds of design variables in a reasonable time frame, e.g., in less than a day, for a reasonable number of simulations, e.g., less than 100,000. GSC can capture design variable interactions and other possible nonlinearities, explicitly capture uncertainties, and intuitively display them. GSD can support the user's exploration of design-to-performance mappings with fast feedback, thoroughly capturing design variable interactions in the whole space, and allow for more efficiently created, more optimal designs. Block-specific design should make it simple to design small circuit blocks, in less time and with lower overhead than optimization through optimization.

    摘要翻译： 对于应用于模拟，混合信号和定制数字电路的系统和方法：全局统计优化（GSO），全局统计特征（GSC），全局统计设计（GSD）和块特定设计。 GSO可以对数百个变量执行全局收益优化，而不需要简化假设。 GSC可以在整个设计空间中捕获并显示从设计变量到性能的映射。 GSC可以在合理的时间范围内处理数百个设计变量，例如在不到一天的时间内，对于合理数量的模拟，例如小于100,000。 GSC可以捕获设计变量交互和其他可能的非线性，明确地捕获不确定性，并直观显示它们。 GSD可以通过快速反馈支持用户对设计到性能映射的探索，彻底地捕获整个空间中的设计变量交互，并允许更有效地创建，更优化的设计。 块特定设计应使设计小电路块的设计变得简单，在优化过程中，在更短的时间内和更低的开销。

    System and method for determining and visualizing tradeoffs between yield and performance in electrical circuit designs
    7.
    发明授权
    System and method for determining and visualizing tradeoffs between yield and performance in electrical circuit designs 有权
    用于确定和可视化电路设计中产量和性能之间权衡的系统和方法

    公开(公告)号：US07689952B2

    公开(公告)日：2010-03-30

    申请号：US11780085

    申请日：2007-07-19

    申请人： Trent Lorne McConaghy ,  Charles Cazabon ,  Jiandong Ge ,  Shawn Rusaw ,  Kristopher Breen ,  Jason Coutu

    发明人： Trent Lorne McConaghy ,  Charles Cazabon ,  Jiandong Ge ,  Shawn Rusaw ,  Kristopher Breen ,  Jason Coutu

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5022 ,  G06F17/5036 ,  G06F17/5045

    摘要： A system that includes a candidate generator that generates candidate vectors having as components performance specifications of an electrical circuit design. The system also includes a performance estimator that generates performance vectors of the electrical circuit design, the performance vectors having as components performance values of the electrical circuit design. The candidate vectors and the performance vectors are input into a statistical estimator that calculates a statistical parameter, for example, yield, for each candidate vector in accordance with the performance vectors. The system further includes a filter that receives the candidate vectors and their respective statistical parameters, and outputs a filtered candidate vector with its corresponding filtered statistical parameter. A display system visually represents the filtered candidate vector and its corresponding filtered statistical parameter.

    摘要翻译： 一种系统，其包括产生具有作为电路设计的性能规格的组件的候选矢量的候选发生器。 该系统还包括产生电路设计的性能矢量的性能估计器，性能矢量具有作为电路设计的性能值的组件。 将候选向量和性能向量输入到统计估计器中，该统计估计器根据性能向量计算每个候选向量的统计参数，例如产量。 该系统还包括接收候选向量及其各自的统计参数的滤波器，并且输出具有其对应的滤波统计参数的滤波后的候选向量。 显示系统可视地表示经滤波的候选矢量及其对应的滤波统计参数。

    Model-building optimization
    9.
    发明授权
    Model-building optimization 有权
    建模优化

    公开(公告)号：US08006220B2

    公开(公告)日：2011-08-23

    申请号：US12237069

    申请日：2008-09-24

    申请人： Trent Lorne McConaghy ,  Kristopher Breen ,  Shawn Rusaw ,  David Callele

    发明人： Trent Lorne McConaghy ,  Kristopher Breen ,  Shawn Rusaw ,  David Callele

    IPC分类号： G06F17/50

    CPC分类号： G06F17/5063 ,  G06F2217/08

    摘要： A method and system for performing multi-objective optimization of a multi-parameter design having several variables and performance metrics. The optimization objectives include the performance values of surrogate models of the performance metrics and the uncertainty in the surrogate models. The uncertainty is always maximized while the performance metrics can be maximized or minimized in accordance with the definitions of the respective performance metrics. Alternatively, one of the optimization objectives can be the value of a user-defined cost function of the multi-parameter design, the cost function depending from the performance metrics and/or the variables. In this case, the other objective is the uncertainty of the cost function, which is maximized. The multi-parameter designs include electrical circuit designs such as analog, mixed-signal, and custom digital circuits.

    摘要翻译： 用于执行具有若干变量和性能度量的多参数设计的多目标优化的方法和系统。 优化目标包括性能指标的代理模型的性能价值和代理模型中的不确定性。 不确定性总是最大化，同时可以根据相应性能指标的定义最大化或最小化性能指标。 或者，优化目标之一可以是多参数设计的用户定义的成本函数的值，成本函数取决于性能度量和/或变量。 在这种情况下，另一个目标是成本函数的不确定性，这是最大化的。 多参数设计包括电路设计，如模拟，混合信号和定制数字电路。