公开(公告)号：US11366877B2

公开(公告)日：2022-06-21

申请号：US16928242

申请日：2020-07-14

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US10417303B2

公开(公告)日：2019-09-17

申请号：US15695144

申请日：2017-09-05

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US20210034697A1

公开(公告)日：2021-02-04

申请号：US16928242

申请日：2020-07-14

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US10719575B2

公开(公告)日：2020-07-21

申请号：US16571749

申请日：2019-09-16

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US20250086747A1

公开(公告)日：2025-03-13

申请号：US18957532

申请日：2024-11-22

Applicant: Google LLC

Inventor： Jingyue Wu ,  Christopher Daniel Leary

IPC: G06T1/20 ,  G06F9/50 ,  G06F16/901 ,  G06N3/063 ,  G06N3/084 ,  G06N3/10

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.

公开(公告)号：US20200012705A1

公开(公告)日：2020-01-09

申请号：US16571749

申请日：2019-09-16

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US20190287210A1

公开(公告)日：2019-09-19

申请号：US16433819

申请日：2019-06-06

Applicant: Google LLC

Inventor： Jingyue Wu ,  Christopher Daniel Leary

IPC: G06T1/20 ,  G06F16/901 ,  G06N3/10 ,  G06F9/50 ,  G06N3/063

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.

公开(公告)号：US12190404B2

公开(公告)日：2025-01-07

申请号：US16433819

申请日：2019-06-06

Applicant: Google LLC

Inventor： Jingyue Wu ,  Christopher Daniel Leary

IPC: G06N3/063 ,  G06F9/50 ,  G06F16/901 ,  G06N3/084 ,  G06N3/10 ,  G06T1/20

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.

公开(公告)号：US20220391472A1

公开(公告)日：2022-12-08

申请号：US17842420

申请日：2022-06-16

Applicant: Google LLC

Inventor： Ravi Narayanaswami ,  Rahul Nagarajan ,  Dong Hyuk Woo ,  Christopher Daniel Leary

IPC: G06F17/16 ,  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.

公开(公告)号：US10325340B2

公开(公告)日：2019-06-18

申请号：US15400937

申请日：2017-01-06

Applicant: Google LLC

Inventor： Jingyue Wu ,  Christopher Daniel Leary

IPC: G06F15/18 ,  G06N3/08 ,  G06T1/20 ,  G06F9/50 ,  G06N3/063 ,  G06N3/10 ,  G06F16/901

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.