公开(公告)号：US11645533B2

公开(公告)日：2023-05-09

申请号：US15929242

申请日：2020-03-17

Applicant: NVIDIA Corp.

Inventor： Zhiyao Xie ,  Haoxing Ren ,  Brucek Khailany ,  Sheng Ye

IPC: G06N3/084 ,  G06F30/398 ,  G06N3/04 ,  G06F119/06

CPC classification number: G06N3/084 ,  G06F30/398 ,  G06N3/04 ,  G06F2119/06

Abstract: IR drop predictions are obtained using a maximum convolutional neural network. A circuit structure is partitioned into a grid. For cells of the circuit structure in sub-intervals of a clock period, power consumption of the cell is amortized into a set of grid tiles that include portions of the cell, thus forming a set of power maps. The power maps are applied to a neural network to generate IR drop predictions for the circuit structure.

公开(公告)号：US20200327417A1

公开(公告)日：2020-10-15

申请号：US15929242

申请日：2020-03-17

Applicant: NVIDIA Corp.

Inventor： Zhiyao Xie ,  Haoxing Ren ,  Brucek Khailany ,  Sheng Ye

IPC: G06N3/08 ,  G06N3/04 ,  G06F30/398

Abstract: IR drop predictions are obtained using a maximum convolutional neural network. A circuit structure is partitioned into a grid. For cells of the circuit structure in sub-intervals of a clock period, power consumption of the cell is amortized into a set of grid tiles that include portions of the cell, thus forming a set of power maps. The power maps are applied to a neural network to generate IR drop predictions for the circuit structure.