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公开(公告)号：US20170228344A1
公开(公告)日：2017-08-10
申请号：US15389386
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14 , H03M7/30
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.
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公开(公告)号：US09880976B2
公开(公告)日：2018-01-30
申请号：US15389386
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14 , H03M7/30
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.
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公开(公告)号：US09798701B2
公开(公告)日：2017-10-24
申请号：US15389381
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14
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.
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公开(公告)号：US20170228341A1
公开(公告)日：2017-08-10
申请号：US15016420
申请日：2016-02-05
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14
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.
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公开(公告)号：US09805001B2
公开(公告)日：2017-10-31
申请号：US15016420
申请日：2016-02-05
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14
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.
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Patent Agency Ranking
公开(公告)号：US20170228342A1
公开(公告)日：2017-08-10
申请号：US15016486
申请日：2016-02-05
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14 , H03M7/30
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.
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公开(公告)号：US20180060276A1
公开(公告)日：2018-03-01
申请号：US15695144
申请日：2017-09-05
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
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.
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公开(公告)号：US09772974B2
公开(公告)日：2017-09-26
申请号：US15389381
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
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.
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公开(公告)号：US20170228343A1
公开(公告)日：2017-08-10
申请号：US15389381
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Ravi Narayanaswami , Rahul Nagarajan , Dong Hyuk Woo , Christopher Daniel Leary
CPC classification number: G06F17/16 , G06F9/3887 , G06F17/14
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.
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公开(公告)号：US20180197267A1
公开(公告)日：2018-07-12
申请号：US15400937
申请日：2017-01-06
Applicant: Google Inc.
Inventor： Jingyue Wu , Christopher Daniel Leary
CPC classification number: G06T1/20 , G06F9/5038 , G06F17/30958 , G06N3/063 , G06N3/084 , G06N3/105
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.
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