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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
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.
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公开(公告)号：US20240282040A1
公开(公告)日：2024-08-22
申请号：US18172580
申请日：2023-02-22
Applicant: Intel Corporation
Inventor： Marissa du Bois , Aria Kraft , Adam Lake , Alexander Kharlamov , Anil Alston
CPC classification number: G06T15/005 , G06T15/80
Abstract: Methods, systems and apparatuses provide for technology that intercepts one or more commands to set a first shading rate for offscreen regions of a scene, wherein the scene is associated with a plurality of graphics processors and a plurality of displays, and sets, on a per-graphics processor basis and a per-display basis, a second shading rate for the offscreen regions of the scene, wherein the second shading rate is less than the first shading rate.
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公开(公告)号：US11676322B2
公开(公告)日：2023-06-13
申请号：US17500631
申请日：2021-10-13
Applicant: Intel Corporation
Inventor： Hugues Labbe , Darrel Palke , Sherine Abdelhak , Jill Boyce , Varghese George , Scott Janus , Adam Lake , Zhijun Lei , Zhengmin Li , Mike Macpherson , Carl Marshall , Selvakumar Panneer , Prasoonkumar Surti , Karthik Veeramani , Deepak Vembar , Vallabhajosyula Srinivasa Somayazulu
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
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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
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.
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公开(公告)号：US20210012563A1
公开(公告)日：2021-01-14
申请号：US16910252
申请日：2020-06-24
Applicant: Intel Corporation
Inventor： Filip Strugar , Trapper McFerron , Adam Lake
Abstract: An apparatus to facilitate variable rate shading is disclosed. The apparatus comprises one or more processors to generate a course pixel output value for a pixel block, generate a gradient value comprising a gradient of the course pixel output value using neighbor pixel data and process the pixels in the pixel block using the gradient value to generate a fine pixel value for one or more pixels.
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Patent Agency Ranking
公开(公告)号：US12229867B2
公开(公告)日：2025-02-18
申请号：US18310015
申请日：2023-05-01
Applicant: Intel Corporation
Inventor： Hugues Labbe , Darrel Palke , Sherine Abdelhak , Jill Boyce , Varghese George , Scott Janus , Adam Lake , Zhijun Lei , Zhengmin Li , Mike MacPherson , Carl Marshall , Selvakumar Panneer , Prasoonkumar Surti , Karthik Veeramani , Deepak Vembar , Vallabhajosyula Srinivasa Somayazulu
Abstract: One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.
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公开(公告)号：US20240394956A1
公开(公告)日：2024-11-28
申请号：US18675746
申请日：2024-05-28
Applicant: Intel Corporation
Inventor： Sven Woop , Michael J. Doyle , Sreenivas Kothandaraman , Karthik Vaidyanathan , Abhishek R. Appu , Carsten Benthin , Prasoonkumar Surti , Holger Gruen , Stephen Junkins , Adam Lake , Bret G. Alfieri , Gabor Liktor , Joshua Barczak , Won-Jong Lee
Abstract: Apparatus and method for efficient graphics processing including ray tracing. For example, one embodiment of a graphics processor comprises: execution hardware logic to execute graphics commands and render images; an interface to couple functional units of the execution hardware logic to a tiled resource; and a tiled resource manager to manage access by the functional units to the tiled resource, a functional unit of the execution hardware logic to generate a request with a hash identifier (ID) to request access to a portion of the tiled resource, wherein the tiled resource manager is to determine whether a portion of the tiled resource identified by the hash ID exists, and if not, to allocate a new portion of the tiled resource and associate the new portion with the hash ID.
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公开(公告)号：US11151769B2
公开(公告)日：2021-10-19
申请号：US16537140
申请日：2019-08-09
Applicant: Intel Corporation
Inventor： Hugues Labbe , Darrel Palke , Sherine Abdelhak , Jill Boyce , Varghese George , Scott Janus , Adam Lake , Zhijun Lei , Zhengmin Li , Mike Macpherson , Carl Marshall , Selvakumar Panneer , Prasoonkumar Surti , Karthik Veeramani , Deepak Vembar , Vallabhajosyula Srinivasa Somayazulu
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
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公开(公告)号：US11120620B2
公开(公告)日：2021-09-14
申请号：US16910252
申请日：2020-06-24
Applicant: Intel Corporation
Inventor： Filip Strugar , Trapper McFerron , Adam Lake
Abstract: An apparatus to facilitate variable rate shading is disclosed. The apparatus comprises one or more processors to generate a course pixel output value for a pixel block, generate a gradient value comprising a gradient of the course pixel output value using neighbor pixel data and process the pixels in the pixel block using the gradient value to generate a fine pixel value for one or more pixels.
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公开(公告)号：US20210090327A1
公开(公告)日：2021-03-25
申请号：US17112792
申请日：2020-12-04
Applicant: Intel Corporation
Inventor： Jill Boyce , Soethiha Soe , Selvakamur Panneer , Adam Lake , Nilesh Jain , Deepak Vembar , Glen J. Anderson , Varghese George , Carl Marshall , Scott Janus , Saurabh Tangri , Karthik Veeramani , Prasoonkumar Surti
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.
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