Patents by Inventor Matthew David HADDON

Matthew David HADDON 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: 12346485
    Abstract: Methods and systems for detecting errors when performing a convolutional operation is provided. Predicted checksum data, corresponding to input checksum data and kernel checksum data, is obtained. The convolutional operation is performed to obtain an output feature map. Output checksum data is generated and the predicted checksum data and the output checksum data are compared, the comparing taking account of partial predicted checksum data configured to correct for a lack of padding when performing the convolution operation, wherein the partial predicted checksum data corresponds to input checksum data for a subset of the values in the input feature map and kernel checksum data for a subset of the values in the kernel.
    Type: Grant
    Filed: July 15, 2022
    Date of Patent: July 1, 2025
    Assignee: Arm Limited
    Inventors: Matthew David Haddon, Igor Fedorov, Reiley Jeyapaul, Paul Nicholas Whatmough, Zhi-Gang Liu
  • Publication number: 20240020419
    Abstract: Methods and systems for detecting errors when performing a convolutional operation is provided. Predicted checksum data, corresponding to input checksum data and kernel checksum data, is obtained. The convolutional operation is performed to obtain an output feature map. Output checksum data is generated and the predicted checksum data and the output checksum data are compared, the comparing taking account of partial predicted checksum data configured to correct for a lack of padding when performing the convolution operation, wherein the partial predicted checksum data corresponds to input checksum data for a subset of the values in the input feature map and kernel checksum data for a subset of the values in the kernel.
    Type: Application
    Filed: July 15, 2022
    Publication date: January 18, 2024
    Inventors: Matthew David HADDON, Igor FEDOROV, Reiley JEYAPAUL, Paul Nicholas WHATMOUGH, Zhi-Gang LIU