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    • 1. 发明授权
    • Model-building optimization
    • 建模优化
    • US08006220B2
    • 2011-08-23
    • US12237069
    • 2008-09-24
    • Trent Lorne McConaghyKristopher BreenShawn RusawDavid Callele
    • Trent Lorne McConaghyKristopher BreenShawn RusawDavid Callele
    • G06F17/50
    • G06F17/5063G06F2217/08
    • 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.
    • 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。
    • 2. 发明申请
    • GLOBAL STATISTICAL OPTIMIZATION, CHARACTERIZATION, AND DESIGN
    • 全球统计优化,特征和设计
    • US20090228846A1
    • 2009-09-10
    • US12396972
    • 2009-03-03
    • Trent Lorne McCONAGHYPat DRENNANJoel COOPERJeffrey DYCKDavid CALLELEShawn RUSAWSamer SALLAMJiangdon GEAnthony ARKLESKristopher BREENSean COCKS
    • Trent Lorne McCONAGHYPat DRENNANJoel COOPERJeffrey DYCKDavid CALLELEShawn RUSAWSamer SALLAMJiangdon GEAnthony ARKLESKristopher BREENSean COCKS
    • G06F17/50
    • G06F17/5063
    • 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.
    • 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。
    • 3. 发明申请
    • MODEL-BUILDING OPTIMIZATION
    • 建模优化
    • US20090083680A1
    • 2009-03-26
    • US12237069
    • 2008-09-24
    • Trent Lorne McConaghyKristopher BREENShawn RUSAWDavid CALLELE
    • Trent Lorne McConaghyKristopher BREENShawn RUSAWDavid CALLELE
    • G06F17/50
    • G06F17/5063G06F2217/08
    • 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.
    • 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。
    • 4. 发明授权
    • Smooth operators in optimization of structures
    • 平稳运算符优化结构
    • US07089163B2
    • 2006-08-08
    • US10227858
    • 2002-08-27
    • Trent Lorne McConaghy
    • Trent Lorne McConaghy
    • G00F7/60
    • G06F17/50
    • A method of identifying technology design candidates from a design space of design candidates leverages specialized operators which are smooth in the sense that the operators are capable of producing small changes in the performance or behaviour when applied to a design to modify it. The method includes determining a smooth operator for effecting incremental structural change to a technology design when the smooth operator is applied to the technology design and then applying the smooth operator to at least one technology design in the population to determine an updated population. The technology designs in the updated population are evaluated to identify a preferred semiconductor technology design. If the stopping condition is satisfied then the search terminates otherwise the steps are repeated.
    • 从设计候选人的设计空间中识别技术设计候选者的方法利用了特定的操作者,这些操作者在应用于设计以对其进行修改时能够产生小的性能或行为变化的意义上是平滑的。 该方法包括:当将平滑算子应用于技术设计,然后将平滑运算符应用于群体中的至少一个技术设计以确定更新的群体时,确定平滑运算符以实现技术设计的增量结构变化。 评估更新的人群中的技术设计,以确定首选的半导体技术设计。 如果满足停止条件,则搜索终止,否则重复步骤。
    • 5. 发明授权
    • Method of robust semiconductor circuit products design using rational robust optimization
    • 鲁棒半导体电路产品设计方法采用合理鲁棒优化
    • US06807652B2
    • 2004-10-19
    • US10227802
    • 2002-08-27
    • Trent Lorne McConaghy
    • Trent Lorne McConaghy
    • G06F1750
    • G06F17/50G06F17/5063G06F2217/10
    • A method for robust optimization of semiconductor product and manufacture design using a search engine. The method comprises selecting one of first and second candidates based on at least one objective function, sampling the first candidate and determining one or more sample objective function values for the first candidate; sampling the second candidate and determining one or more sample objective function values for the second candidate; statistically determining, based on the sampled objective function values, corresponding first and second statistical estimators of design quality; and comparing the first and second statistical estimators of design quality.
    • 一种使用搜索引擎优化半导体产品和制造设计的方法。 该方法包括基于至少一个目标函数来选择第一和第二候选中的一个,对第一候选进行采样并确定第一候选的一个或多个采样目标函数值; 对第二候选进行采样并确定第二候选的一个或多个样本目标函数值; 根据抽样的目标函数值统计确定相应的设计质量的第一和第二统计估计量; 并比较了设计质量的第一和第二统计估计。
    • 7. 发明授权
    • Global statistical optimization, characterization, and design
    • 全局统计优化,表征和设计
    • US08024682B2
    • 2011-09-20
    • US12396972
    • 2009-03-03
    • Trent Lorne McConaghyPat DrennanJoel CooperJeffrey DyckDavid CalleleShawn RusawSamer SallamJiangdon GeAnthony ArklesKristopher BreenSean Cocks
    • Trent Lorne McConaghyPat DrennanJoel CooperJeffrey DyckDavid CalleleShawn RusawSamer SallamJiangdon GeAnthony ArklesKristopher BreenSean Cocks
    • G06F17/50
    • G06F17/5063
    • 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.
    • 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。
    • 9. 发明授权
    • Trustworthy structural synthesis and expert knowledge extraction with application to analog circuit design
    • 可信赖的结构综合和专家知识提取与应用于模拟电路设计
    • US08443329B2
    • 2013-05-14
    • US12466894
    • 2009-05-15
    • Trent Lorne McConaghy
    • Trent Lorne McConaghy
    • G06F17/50G06F11/22G06F9/44G06F9/45
    • G06F17/5063
    • A system and method that does trustworthy multi-objective structural synthesis of analog circuits, and extracts expert analog circuit knowledge from the resulting tradeoffs. The system defines a space of thousands of possible topologies via a hierarchically organized combination of designer-trusted analog building blocks, the resulting topologies are guaranteed trustworthy. The system can perform a search based on a multi-objective evolutionary algorithm that uses an age-layered population structure to balance exploration vs. exploitation, with operators that make the search space a hybrid between vector-based and tree-based representations. A scheme employing average ranking on Pareto fronts is used to handle a high number of objectives. Good initial topology sizings are quickly generated via multi-gate constraint satisfaction. To explicitly capture expert analog design knowledge, data mining is employed on the sized circuits to: automatically generate a decision tree for navigating from performance specifications to topology choice, to do global nonlinear sensitivity analysis, and to generate analytical models of performance tradeoffs.
    • 一种可靠的多目标结构合成模拟电路的系统和方法,并从所产生的权衡中提取专家模拟电路知识。 该系统通过设计师可信赖的模拟构建块的分层组织的组合来定义数千个可能拓扑的空间,所得拓扑保证可信赖。 该系统可以基于多目标进化算法进行搜索,该算法使用年龄分层的人口结构来平衡勘探与开发,使搜索空间与基于向量和基于树的表示形成混合。 使用平均排名在帕累托战线的方案来处理大量的目标。 通过多门约束满足快速生成良好的初始拓扑图。 为了明确地捕获专家模拟设计知识,在大小的电路中采用数据挖掘:自动生成用于从性能规范到拓扑选择的导航,进行全局非线性灵敏度分析以及生成性能折衷的分析模型的决策树。