Patents by Inventor Daniel Leary

Daniel Leary 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).

  • Publication number: 20220391472
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: June 16, 2022
    Publication date: December 8, 2022
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 11366877
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: June 21, 2022
    Assignee: Google LLC
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20210034697
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: July 14, 2020
    Publication date: February 4, 2021
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 10719575
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: July 21, 2020
    Assignee: Google LLC
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20200012705
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: September 16, 2019
    Publication date: January 9, 2020
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20190287210
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a data entity that causes a processing unit to process a computational graph. In one aspect, a method includes the actions of receiving data identifying a computational graph, the computational graph including a plurality of nodes representing operations; obtaining compilation artifacts for processing the computational graph on a processing unit; and generating a data entity from the compilation artifacts, wherein the data entity, when invoked, causes the processing unit to process the computational graph by executing the operations represented by the plurality of nodes.
    Type: Application
    Filed: June 6, 2019
    Publication date: September 19, 2019
    Applicant: Google LLC
    Inventors: Jingyue Wu, Christopher Daniel Leary
  • Patent number: 10417303
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: September 5, 2017
    Date of Patent: September 17, 2019
    Assignee: Google LLC
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 10325340
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a data entity that causes a processing unit to process a computational graph. In one aspect, method includes the actions of receiving data identifying a computational graph, the computational graph including a plurality of nodes representing operations; obtaining compilation artifacts for processing the computational graph on a processing unit; and generating a data entity from the compilation artifacts, wherein the data entity, when invoked, causes the processing unit to process the computational graph by executing the operations represented by the plurality of nodes.
    Type: Grant
    Filed: January 6, 2017
    Date of Patent: June 18, 2019
    Assignee: Google LLC
    Inventors: Jingyue Wu, Christopher Daniel Leary
  • Publication number: 20180197267
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a data entity that causes a processing unit to process a computational graph. In one aspect, method includes the actions of receiving data identifying a computational graph, the computational graph including a plurality of nodes representing operations; obtaining compilation artifacts for processing the computational graph on a processing unit; and generating a data entity from the compilation artifacts, wherein the data entity, when invoked, causes the processing unit to process the computational graph by executing the operations represented by the plurality of nodes.
    Type: Application
    Filed: January 6, 2017
    Publication date: July 12, 2018
    Applicant: Google Inc.
    Inventors: Jingyue Wu, Christopher Daniel Leary
  • Publication number: 20180060276
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: September 5, 2017
    Publication date: March 1, 2018
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9898441
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements into a dense matrix. The system includes a data fetch unit that includes a plurality of processors, the data fetch unit configured to determine, based on identifications of the subset of the particular sparse elements, a processor designation for fetching the subset of the particular sparse elements. The system includes a concatenation unit configured to generate an output dense matrix based on a transformation that is applied to the sparse elements fetched by the data fetch unit.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: February 20, 2018
    Assignee: Google LLC
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9880976
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements into a dense matrix. The system includes a data fetch unit that includes a plurality of processors, the data fetch unit configured to determine, based on identifications of the subset of the particular sparse elements, a processor designation for fetching the subset of the particular sparse elements. The system includes a concatenation unit configured to generate an output dense matrix based on a transformation that is applied to the sparse elements fetched by the data fetch unit.
    Type: Grant
    Filed: December 22, 2016
    Date of Patent: January 30, 2018
    Assignee: Google LLC
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9805001
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: October 31, 2017
    Assignee: Google Inc.
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9798701
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: December 22, 2016
    Date of Patent: October 24, 2017
    Assignee: Google Inc.
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9772974
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: December 22, 2016
    Date of Patent: September 26, 2017
    Assignee: Google Inc.
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Patent number: 9772973
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: September 26, 2017
    Assignee: Google Inc.
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20170228342
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements into a dense matrix. The system includes a data fetch unit that includes a plurality of processors, the data fetch unit configured to determine, based on identifications of the subset of the particular sparse elements, a processor designation for fetching the subset of the particular sparse elements. The system includes a concatenation unit configured to generate an output dense matrix based on a transformation that is applied to the sparse elements fetched by the data fetch unit.
    Type: Application
    Filed: February 5, 2016
    Publication date: August 10, 2017
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20170228344
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements into a dense matrix. The system includes a data fetch unit that includes a plurality of processors, the data fetch unit configured to determine, based on identifications of the subset of the particular sparse elements, a processor designation for fetching the subset of the particular sparse elements. The system includes a concatenation unit configured to generate an output dense matrix based on a transformation that is applied to the sparse elements fetched by the data fetch unit.
    Type: Application
    Filed: December 22, 2016
    Publication date: August 10, 2017
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20170228343
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: December 22, 2016
    Publication date: August 10, 2017
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
  • Publication number: 20170228341
    Abstract: Methods, systems, and apparatus, including a system for transforming sparse elements to a dense matrix. The system is configured to receive a request for an output matrix based on sparse elements including sparse elements associated with a first dense matrix and sparse elements associated with a second dense matrix; obtain the sparse elements associated with the first dense matrix fetched by a first group of sparse element access units; obtain the sparse elements associated with the second dense matrix fetched by a second group of sparse element access units; and transform the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix to generate the output dense matrix that includes the sparse elements associated with the first dense matrix and the sparse elements associated with the second dense matrix.
    Type: Application
    Filed: February 5, 2016
    Publication date: August 10, 2017
    Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary