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公开(公告)号:US20210158155A1
公开(公告)日:2021-05-27
申请号:US16992354
申请日:2020-08-13
Applicant: NVIDIA Corp.
Inventor: Yanqing Zhang , Haoxing Ren , Brucek Khailany
Abstract: A graph neural network for average power estimation of netlists is trained with register toggle rates over a power window from an RTL simulation and gate level netlists as input features. Combinational gate toggle rates are applied as labels. The trained graph neural network is then applied to infer combinational gate toggle rates over a different power window of interest and/or different netlist.