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).
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Publication number: 20220391472Abstract: 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: ApplicationFiled: June 16, 2022Publication date: December 8, 2022Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 11366877Abstract: 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: GrantFiled: July 14, 2020Date of Patent: June 21, 2022Assignee: Google LLCInventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20210034697Abstract: 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: ApplicationFiled: July 14, 2020Publication date: February 4, 2021Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 10719575Abstract: 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: GrantFiled: September 16, 2019Date of Patent: July 21, 2020Assignee: Google LLCInventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20200012705Abstract: 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: ApplicationFiled: September 16, 2019Publication date: January 9, 2020Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20190287210Abstract: 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: ApplicationFiled: June 6, 2019Publication date: September 19, 2019Applicant: Google LLCInventors: Jingyue Wu, Christopher Daniel Leary
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Patent number: 10417303Abstract: 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: GrantFiled: September 5, 2017Date of Patent: September 17, 2019Assignee: Google LLCInventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 10325340Abstract: 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: GrantFiled: January 6, 2017Date of Patent: June 18, 2019Assignee: Google LLCInventors: Jingyue Wu, Christopher Daniel Leary
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Publication number: 20180197267Abstract: 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: ApplicationFiled: January 6, 2017Publication date: July 12, 2018Applicant: Google Inc.Inventors: Jingyue Wu, Christopher Daniel Leary
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Publication number: 20180060276Abstract: 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: ApplicationFiled: September 5, 2017Publication date: March 1, 2018Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9898441Abstract: 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: GrantFiled: February 5, 2016Date of Patent: February 20, 2018Assignee: Google LLCInventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9880976Abstract: 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: GrantFiled: December 22, 2016Date of Patent: January 30, 2018Assignee: Google LLCInventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9805001Abstract: 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: GrantFiled: February 5, 2016Date of Patent: October 31, 2017Assignee: Google Inc.Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9798701Abstract: 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: GrantFiled: December 22, 2016Date of Patent: October 24, 2017Assignee: Google Inc.Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9772974Abstract: 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: GrantFiled: December 22, 2016Date of Patent: September 26, 2017Assignee: Google Inc.Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Patent number: 9772973Abstract: 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: GrantFiled: February 5, 2016Date of Patent: September 26, 2017Assignee: Google Inc.Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20170228342Abstract: 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: ApplicationFiled: February 5, 2016Publication date: August 10, 2017Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20170228344Abstract: 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: ApplicationFiled: December 22, 2016Publication date: August 10, 2017Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20170228343Abstract: 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: ApplicationFiled: December 22, 2016Publication date: August 10, 2017Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary
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Publication number: 20170228341Abstract: 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: ApplicationFiled: February 5, 2016Publication date: August 10, 2017Inventors: Ravi Narayanaswami, Rahul Nagarajan, Dong Hyuk Woo, Christopher Daniel Leary