System, method, and computer-program product for routing in an electronic design using deep learning

    公开(公告)号:US11386322B1

    公开(公告)日:2022-07-12

    申请号:US15278304

    申请日:2016-09-28

    Abstract: The present disclosure relates to a computer-implemented method for routing in an electronic design. Embodiments may include receiving, using at least one processor, global route data associated with an electronic design as an input and generating detail route data, based upon, at least in part, the global route data. Embodiments may further include transforming one or more of the detail route data and the global route data into at least one input feature and at least one output result of a deep neural network. Embodiments may also include training the deep neural network with the global route data and the detail route data and predicting an output associated with a detail route based upon, at least in part, a trained deep neural network model.

    System, method, and computer-program product for routing in an electronic design using deep learning

    公开(公告)号:US11348000B1

    公开(公告)日:2022-05-31

    申请号:US15377389

    申请日:2016-12-13

    Abstract: The present disclosure relates to a computer-implemented method for routing in an electronic design. Embodiments may include receiving, using at least one processor, global route data associated with an electronic design as an input and generating detail route data, based upon, at least in part, the global route data. Embodiments may further include transforming one or more of the detail route data and the global route data into at least one input feature and at least one output result of a deep neural network. Embodiments may also include training the deep neural network with the global route data and the detail route data and predicting an output associated with a detail route based upon, at least in part, a trained deep neural network model. Embodiments may also include generating routing information for each routing grid.

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