公开(公告)号：US11669719B2

公开(公告)日：2023-06-06

申请号：US17174864

申请日：2021-02-12

Applicant: Intel Corporation

Inventor： Jeremie Dreyfuss ,  Amit Bleiweiss ,  Lev Faivishevsky ,  Tomer Bar-On ,  Yaniv Fais ,  Jacob Subag ,  Eran Ben-Avi ,  Neta Zmora ,  Tomer Schwartz

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04 ,  G06N3/084 ,  G06V20/56 ,  G06V10/44 ,  G06F18/214 ,  G06N3/044 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06F18/2413

CPC classification number: G06N3/063 ,  G06F18/214 ,  G06F18/24133 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.

公开(公告)号：US20220206990A1

公开(公告)日：2022-06-30

申请号：US17561427

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： Altug Koker ,  Prasoonkumar Surti ,  David Puffer ,  Subramaniam Maiyuran ,  Guei-Yuan Lueh ,  Abhishek R. Appu ,  Joydeep Ray ,  Balaji Vembu ,  Tomer Bar-On ,  Andrew T. Lauritzen ,  Hugues Labbe ,  John G. Gierach ,  Gabor Liktor

IPC: G06F16/13 ,  G06F9/38 ,  G06F9/30 ,  G06F16/11 ,  G06F16/172 ,  G06F9/46

Abstract: In an example, an apparatus comprises a plurality of execution units, and a first memory communicatively couple to the plurality of execution units, wherein the first shared memory is shared by the plurality of execution units and a copy engine to copy context state data from at least a first of the plurality of execution units to the first shared memory. Other embodiments are also disclosed and claimed.

公开(公告)号：US11182296B2

公开(公告)日：2021-11-23

申请号：US16566188

申请日：2019-09-10

Applicant: Intel Corporation

Inventor： Andrew T. Lauritzen ,  Gabor Liktor ,  Tomer Bar-On ,  Hugues Labbe ,  John G. Gierach ,  Joydeep Ray ,  Travis T. Schluessler ,  John H. Feit ,  Nikos Kaburlasos ,  Jacek Kwiatkowski ,  Abhishek R. Appu ,  Balaji Vembu ,  Altug Koker

IPC: G06F12/0862 ,  G06F9/30 ,  G06F12/0875 ,  G06F9/38 ,  G06F12/0811 ,  G06F12/0855 ,  G06T1/20

Abstract: Systems, apparatuses and methods may provide a way to track graphics pipeline operations. More particularly, the systems, apparatuses and methods may provide a way to track operation dependencies between graphics pipeline operations for blocks of pixel samples and stall one or more of the pipeline operations based on the operation dependencies. The systems, apparatuses and methods may further provide cache pre-fetch hardware to monitor processing of blocks of pixel samples and fetch a next block of the pixel samples from the memory into a cache before completion of processing a current block of pixel samples based on one or more of the pipeline operations or a surface state of one or more regions of a screen space.

公开(公告)号：US20210350585A1

公开(公告)日：2021-11-11

申请号：US17344639

申请日：2021-06-10

Applicant: INTEL CORPORATION

Inventor： Tomer Bar-On ,  Jacob Subag ,  Yaniv Fais ,  Jeremie Dreyfuss ,  Gal Novik ,  Gal Leibovich ,  Tomer Schwartz ,  Ehud Cohen ,  Lev Faivishevsky ,  Uzi Sarel ,  Amitai Armon ,  Yahav Shadmiy

IPC: G06T9/00 ,  H04N19/42 ,  G06N3/04 ,  H04N19/436 ,  G06N3/08

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.

公开(公告)号：US20210256272A1

公开(公告)日：2021-08-19

申请号：US17174864

申请日：2021-02-12

Applicant: Intel Corporation

Inventor： Jeremie Dreyfuss ,  Amit Bleiweiss ,  Lev Faivishevsky ,  Tomer Bar-On ,  Yaniv Fais ,  Jacob Subag ,  Eran Ben-Avi ,  Neta Zmora ,  Tomer Schwartz

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62 ,  G06K9/46 ,  G06N3/063

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.

公开(公告)号：US11037330B2

公开(公告)日：2021-06-15

申请号：US15482725

申请日：2017-04-08

Applicant: Intel Corporation

Inventor： Tomer Bar-On ,  Jacob Subag ,  Yaniv Fais ,  Jeremie Dreyfuss ,  Gal Novik ,  Gal Leibovich ,  Tomer Schwartz ,  Ehud Cohen ,  Lev Faivishevsky ,  Uzi Sarel ,  Amitai Armon ,  Yahav Shadmiy

IPC: G06T9/00 ,  H04N19/42 ,  G06N3/04 ,  H04N19/436 ,  G06N3/08

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.

公开(公告)号：US20210049804A1

公开(公告)日：2021-02-18

申请号：US17006253

申请日：2020-08-28

Applicant: Intel Corporation

Inventor： Uzi Sarel ,  Ehud Cohen ,  Tomer Schwartz ,  Amitai Armon ,  Yahav Shadmiy ,  Itamar Ben-Ari ,  Amit Bleiweiss ,  Lev Faivishevsky ,  Tomer Bar-On ,  Yaniv Fais ,  Jacob Subag ,  Michael Behar ,  Guy Jacob ,  Gal Leibovich ,  Jeremie Dreyfuss

IPC: G06T15/00 ,  G06N3/02 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.

公开(公告)号：US10922556B2

公开(公告)日：2021-02-16

申请号：US15499889

申请日：2017-04-28

Applicant: Intel Corporation

Inventor： Jeremie Dreyfuss ,  Amit Bleiweiss ,  Lev Faivishevsky ,  Tomer Bar-On ,  Yaniv Fais ,  Jacob Subag ,  Eran Ben-Avi ,  Neta Zmora ,  Tomer Schwartz

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.

公开(公告)号：US20210035270A1

公开(公告)日：2021-02-04

申请号：US16929787

申请日：2020-07-15

Applicant: Intel Corporation

Inventor： Tomer Bar-On ,  Hugues Labbe ,  Adam T. Lake ,  Kai Xiao ,  Ankur N. Shah ,  Johannes Guenther ,  Abhishek R. Appu ,  Joydeep Ray ,  Deepak S. Vembar ,  ElMoustapha Ould-Ahmed-Vall

IPC: G06T5/00 ,  G06T15/50 ,  G06T15/00 ,  G06T1/20 ,  G06T9/00 ,  G06T11/40

Abstract: Systems, apparatuses and methods may provide for technology that identifies, at an image post-processor, unresolved surface data and identifies, at the image post-processor, control data associated with the unresolved surface data. Additionally, the technology may resolve, at the image post-processor, the unresolved surface data and the control data into a final image.

公开(公告)号：US10853035B2

公开(公告)日：2020-12-01

申请号：US16833128

申请日：2020-03-27

Applicant: Intel Corporation

Inventor： Yaniv Fais ,  Tomer Bar-On ,  Jacob Subag ,  Jeremie Dreyfuss ,  Lev Faivishevsky ,  Michael Behar ,  Amit Bleiweiss ,  Guy Jacob ,  Gal Leibovich ,  Itamar Ben-Ari ,  Galina Ryvchin ,  Eyal Yaacoby

IPC: G06F7/533 ,  G06N20/00 ,  G06T1/20

Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.