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AssigneeQUALCOMM Incorporated
InventorsSoumya SOURAV, Shree Krishna PANDEY, Lindsey Makana KOSTAS
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Various embodiments include methods and computing devices implementing the methods for predicting a voltage deviation, i.e., a voltage undershoot (voltage droop) or a voltage overshoot, in a plurality of power distribution network (PDN) configurations. Various embodiments may include generating training data using a circuit simulator, in which the training data includes current waveforms and voltage waveforms associated with a plurality of PDN configurations. The generated training data may be used to train a CRNN model configured to process time-domain current vectors and frequency-domain impedance profiles. The trained CRNN model may then be used to generate a voltage deviation prediction by applying current waveforms and impedance profiles of different PDN configurations to the trained CRNN model. A plurality of PDN configuration options may be evaluated in parallel, and recommendations for PDN configurations may be determined based on the generated voltage deviation prediction and generated evaluation results.
A computing device, comprising:
A method of predicting voltage deviation in a power distribution network (PDN) configuration, comprising:
A non-transitory processor-readable medium having stored thereon processor-executable instructions configured to cause a processor to perform operations comprising:
Dependencies are inferred from the claim text.