公开(公告)号：US11557085B2

公开(公告)日：2023-01-17

申请号：US17112792

申请日：2020-12-04

Applicant: Intel Corporation

Inventor： Jill Boyce ,  Soethiha Soe ,  Selvakumar Panneer ,  Adam Lake ,  Nilesh Jain ,  Deepak Vembar ,  Glen J. Anderson ,  Varghese George ,  Carl Marshall ,  Scott Janus ,  Saurabh Tangri ,  Karthik Veeramani ,  Prasoonkumar Surti

IPC: G06T7/20 ,  G06T17/00 ,  G06N3/04 ,  G06N3/08 ,  G06F3/01 ,  G06K9/62 ,  G06V30/262

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.

公开(公告)号：US20220137967A1

公开(公告)日：2022-05-05

申请号：US17429277

申请日：2020-03-14

Applicant: Intel Corporation

Inventor： Altug Koker ,  Varghese George ,  Aravindh Anantaraman ,  Valentin Andrel ,  Abhishek R. Appu ,  Niranjan Cooray ,  Nicolas Galoppo Von Borries ,  Mike MacPherson ,  Subramaniam Maiyuran ,  ElMoustapha Ould-Ahmed-Vall ,  David Puffer ,  Vasanth Ranganathan ,  Joydeep Ray ,  Ankur N. Shah ,  Lakshminarayanan Striramassarma ,  Prasoonkumar Surti ,  Saurabh Tangri

IPC: G06F9/30 ,  G06T15/06 ,  G06F9/38 ,  G06F7/575

Abstract: Embodiments are generally directed to graphics processor data access and sharing. An embodiment of an apparatus includes a circuit element to produce a result in processing of an application; a load-store unit to receive the result and generate pre-fetch information for a cache utilizing the result; and a prefetch generator to produce prefetch addresses based at least in part on the pre-fetch information; wherein the load-store unit is to receive software assistance for prefetching, and wherein generation of the pre-fetch information is based at least in part on the software assistance.

公开(公告)号：US20220114096A1

公开(公告)日：2022-04-14

申请号：US17428527

申请日：2020-03-14

Applicant: Intel Corporation

Inventor： Lakshminarayanan Striramassarma ,  Prasoonkumar Surti ,  Varghese George ,  Ben Ashbaugh ,  Aravindh Anantaraman ,  Valentin Andrei ,  Abhishek Appu ,  Nicolas Galoppo Von Borries ,  Altug Koker ,  Mike Macpherson ,  Subramaniam Maiyuran ,  Nilay Mistry ,  Elmoustapha Ould-Ahmed-Vall ,  Selvakumar Panneer ,  Vasanth Ranganathan ,  Joydeep Ray ,  Ankur Shah ,  Saurabh Tangri

IPC: G06F12/0802

Abstract: Multi-tile Memory Management for Detecting Cross Tile Access, Providing Multi-Tile Inference Scaling with multicasting of data via copy operation, and Providing Page Migration are disclosed herein. In one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (GPU) having a memory and a memory controller, a second graphics processing unit (GPU) having a memory and a cross-GPU fabric to communicatively couple the first and second GPUs. The memory controller is configured to determine whether frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU in the multi-GPU configuration and to send a message to initiate a data transfer mechanism when frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU.

公开(公告)号：US20240256483A1

公开(公告)日：2024-08-01

申请号：US18415052

申请日：2024-01-17

Applicant: Intel Corporation

Inventor： Altug Koker ,  Varghese George ,  Aravindh Anantaraman ,  Valentin Andrei ,  Abhishek R. Appu ,  Niranjan Cooray ,  Nicolas Galoppo Von Borries ,  Mike MacPherson ,  Subramaniam Maiyuran ,  ElMoustapha Ould-Ahmed-Vall ,  David Puffer ,  Vasanth Ranganathan ,  Joydeep Ray ,  Ankur N. Shah ,  Lakshminarayanan Striramassarma ,  Prasoonkumar Surti ,  Saurabh Tangri

IPC: G06F15/78 ,  G06F7/544 ,  G06F7/575 ,  G06F7/58 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F12/02 ,  G06F12/06 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/80 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06N3/08 ,  G06T15/06

CPC classification number: G06F15/7839 ,  G06F7/5443 ,  G06F7/575 ,  G06F7/588 ,  G06F9/3001 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3004 ,  G06F9/30043 ,  G06F9/30047 ,  G06F9/30065 ,  G06F9/30079 ,  G06F9/3887 ,  G06F9/5011 ,  G06F9/5077 ,  G06F12/0215 ,  G06F12/0238 ,  G06F12/0246 ,  G06F12/0607 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/8046 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06F9/3802 ,  G06F9/3818 ,  G06F9/3867 ,  G06F2212/1008 ,  G06F2212/1021 ,  G06F2212/1044 ,  G06F2212/302 ,  G06F2212/401 ,  G06F2212/455 ,  G06F2212/60 ,  G06N3/08 ,  G06T15/06

Abstract: Embodiments are generally directed to graphics processor data access and sharing. An embodiment of an apparatus includes a circuit element to produce a result in processing of an application; a load-store unit to receive the result and generate pre-fetch information for a cache utilizing the result; and a prefetch generator to produce prefetch addresses based at least in part on the pre-fetch information; wherein the load-store unit is to receive software assistance for prefetching, and wherein generation of the pre-fetch information is based at least in part on the software assistance.

公开(公告)号：US11995029B2

公开(公告)日：2024-05-28

申请号：US17428527

申请日：2020-03-14

Applicant: Intel Corporation

Inventor： Lakshminarayanan Striramassarma ,  Prasoonkumar Surti ,  Varghese George ,  Ben Ashbaugh ,  Aravindh Anantaraman ,  Valentin Andrei ,  Abhishek Appu ,  Nicolas Galoppo Von Borries ,  Altug Koker ,  Mike Macpherson ,  Subramaniam Maiyuran ,  Nilay Mistry ,  Elmoustapha Ould-Ahmed-Vall ,  Selvakumar Panneer ,  Vasanth Ranganathan ,  Joydeep Ray ,  Ankur Shah ,  Saurabh Tangri

IPC: G06F12/00 ,  G06F7/544 ,  G06F7/575 ,  G06F7/58 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F12/02 ,  G06F12/06 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/78 ,  G06F15/80 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06N3/08 ,  G06T15/06

CPC classification number: G06F15/7839 ,  G06F7/5443 ,  G06F7/575 ,  G06F7/588 ,  G06F9/3001 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3004 ,  G06F9/30043 ,  G06F9/30047 ,  G06F9/30065 ,  G06F9/30079 ,  G06F9/3887 ,  G06F9/5011 ,  G06F9/5077 ,  G06F12/0215 ,  G06F12/0238 ,  G06F12/0246 ,  G06F12/0607 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/8046 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06F9/3802 ,  G06F9/3818 ,  G06F9/3867 ,  G06F2212/1008 ,  G06F2212/1021 ,  G06F2212/1044 ,  G06F2212/302 ,  G06F2212/401 ,  G06F2212/455 ,  G06F2212/60 ,  G06N3/08 ,  G06T15/06

Abstract: Multi-tile Memory Management for Detecting Cross Tile Access, Providing Multi-Tile Inference Scaling with multicasting of data via copy operation, and Providing Page Migration are disclosed herein. In one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (GPU) having a memory and a memory controller, a second graphics processing unit (GPU) having a memory and a cross-GPU fabric to communicatively couple the first and second GPUs. The memory controller is configured to determine whether frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU in the multi-GPU configuration and to send a message to initiate a data transfer mechanism when frequent cross tile memory accesses occur from the first GPU to the memory of the second GPU.

公开(公告)号：US11934342B2

公开(公告)日：2024-03-19

申请号：US17429277

申请日：2020-03-14

Applicant: Intel Corporation

Inventor： Altug Koker ,  Varghese George ,  Aravindh Anantaraman ,  Valentin Andrei ,  Abhishek R. Appu ,  Niranjan Cooray ,  Nicolas Galoppo Von Borries ,  Mike MacPherson ,  Subramaniam Maiyuran ,  ElMoustapha Ould-Ahmed-Vall ,  David Puffer ,  Vasanth Ranganathan ,  Joydeep Ray ,  Ankur N. Shah ,  Lakshminarayanan Striramassarma ,  Prasoonkumar Surti ,  Saurabh Tangri

IPC: G06F15/78 ,  G06F7/544 ,  G06F7/575 ,  G06F7/58 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F12/02 ,  G06F12/06 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/80 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06N3/08 ,  G06T15/06

CPC classification number: G06F15/7839 ,  G06F7/5443 ,  G06F7/575 ,  G06F7/588 ,  G06F9/3001 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3004 ,  G06F9/30043 ,  G06F9/30047 ,  G06F9/30065 ,  G06F9/30079 ,  G06F9/3887 ,  G06F9/5011 ,  G06F9/5077 ,  G06F12/0215 ,  G06F12/0238 ,  G06F12/0246 ,  G06F12/0607 ,  G06F12/0802 ,  G06F12/0804 ,  G06F12/0811 ,  G06F12/0862 ,  G06F12/0866 ,  G06F12/0871 ,  G06F12/0875 ,  G06F12/0882 ,  G06F12/0888 ,  G06F12/0891 ,  G06F12/0893 ,  G06F12/0895 ,  G06F12/0897 ,  G06F12/1009 ,  G06F12/128 ,  G06F15/8046 ,  G06F17/16 ,  G06F17/18 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06F9/3802 ,  G06F9/3818 ,  G06F9/3867 ,  G06F2212/1008 ,  G06F2212/1021 ,  G06F2212/1044 ,  G06F2212/302 ,  G06F2212/401 ,  G06F2212/455 ,  G06F2212/60 ,  G06N3/08 ,  G06T15/06

Abstract: Embodiments are generally directed to graphics processor data access and sharing. An embodiment of an apparatus includes a circuit element to produce a result in processing of an application; a load-store unit to receive the result and generate pre-fetch information for a cache utilizing the result; and a prefetch generator to produce prefetch addresses based at least in part on the pre-fetch information; wherein the load-store unit is to receive software assistance for prefetching, and wherein generation of the pre-fetch information is based at least in part on the software assistance.

公开(公告)号：US20220405888A1

公开(公告)日：2022-12-22

申请号：US17354186

申请日：2021-06-22

Applicant: Intel Corporation

Inventor： Satyam Srivastava ,  Saurabh Tangri ,  Rajeev Nalawadi ,  Carl S. Marshall ,  Selvakumar Panneer

IPC: G06T5/00 ,  G06T5/50 ,  G06T3/40 ,  G06N3/08 ,  G06N3/04

Abstract: An apparatus to facilitate video motion smoothing is disclosed. The apparatus comprises one or more processors including a graphics processor, the one or more processors including circuitry configured to receive a video stream, decode the video stream to generate a motion vector map and a plurality of video image frames, analyze the motion vector map to detect a plurality of candidate frames, wherein the plurality of candidate frames comprise a period of discontinuous motion in the plurality of video image frames and the plurality of candidate frames are determined based on a classification generated via a convolutional neural network (CNN), generate, via a generative adversarial network (GAN), one or more synthetic frames based on the plurality of candidate frames, insert the one or more synthetic frames between the plurality of candidate frames to generate up-sampled video frames and transmit the up-sampled video frames for display.

公开(公告)号：US10861225B2

公开(公告)日：2020-12-08

申请号：US16234463

申请日：2018-12-27

Applicant: Intel Corporation

Inventor： Jill Boyce ,  Soethiha Soe ,  Selvakumar Panneer ,  Adam Lake ,  Nilesh Jain ,  Deepak Vembar ,  Glen J. Anderson ,  Varghese George ,  Carl Marshall ,  Scott Janus ,  Saurabh Tangri ,  Karthik Veeramani ,  Prasoonkumar Surti

IPC: G06T17/00 ,  G06N3/04 ,  G06T7/20 ,  G06N3/08 ,  G06K9/72 ,  G06F3/01 ,  G06K9/62

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.