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Machine Learning Based Methods and Apparatus for Integrated Circuit Design Delay Calculation and Verification

机译:基于机器学习的集成电路设计延迟计算和验证的方法和装置

摘要

A method for integrated circuit design with delay verification includes storing configuration files for a slew-rate Machine Learning (ML) model, a net-delay ML model and a cell-delay ML model. A user design is received, slew-rate feature values, net-delay feature values and cell-delay feature values are extracted from the user design, the configuration files are loaded to form inference cores, and operations of the slew-rate inference core are performed to calculate predicted slew-rate values that are sent to ML design tools. Operations of the net-delay inference core are performed to calculate predicted net-delay values that are sent to the ML design tools. Operations of the cell-delay inference core are performed to generate predicted cell-delay values that are sent to the ML design tools. The user design is iterated until a user design is obtained that is free of timing violations.
机译:具有延迟验证的集成电路设计的方法包括存储用于重流机床学习(ML)模型的配置文件,净延迟ML模型和小区延迟ML模型。接收到用户设计,从用户设计中提取重流速率特征值,网络延迟特征值和小区延迟特征值,将配置文件加载以形成推理核心,并且重流速率推断核心的操作是执行以计算发送到ML设计工具的预测的重速值。执行净延迟推理核心的操作以计算发送到ML设计工具的预测净延迟值。执行小区延迟推理核心的操作以生成被发送到ML设计工具的预测的小区延迟值。在获得用户设计的情况下迭代用户设计,这是没有定时违规的。

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