Patents by Inventor Steven Kurtz

Steven Kurtz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10527665
    Abstract: A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.
    Type: Grant
    Filed: March 20, 2019
    Date of Patent: January 7, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Steven Kurtz, Ronald D. Rose, Sanjay Upreti
  • Publication number: 20190219625
    Abstract: A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.
    Type: Application
    Filed: March 20, 2019
    Publication date: July 18, 2019
    Inventors: Steven Kurtz, Ronald D. Rose, Sanjay Upreti
  • Patent number: 10324122
    Abstract: A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: June 18, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Steven Kurtz, Ronald D. Rose, Sanjay Upreti
  • Publication number: 20170168105
    Abstract: A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.
    Type: Application
    Filed: December 14, 2015
    Publication date: June 15, 2017
    Inventors: Steven Kurtz, Ronald D, Rose, Sanjay Upreti