| 摘要 |
A system and method is described for generating a power model of a circuit from a lower level description, such as Gate-level or RTL. In one aspect, simulation data is converted into a series of messages or transactions. Power is then determined on a per message or per transaction basis. In another aspect, an abstract power model is generated using a neural network. The neural network generates a system of weighted equations representing an accurate power model.
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