公开(公告)号：US20190035363A1

公开(公告)日：2019-01-31

申请号：US15858486

申请日：2017-12-29

Applicant: Intel Corporation

Inventor： Travis Schluessler ,  Abhishek Venkatesh ,  John Gierach ,  Tomer Bar-On ,  Devan Burke

IPC: G09G5/36 ,  G09G3/00 ,  G09G5/391 ,  G06T15/40 ,  G06T15/20 ,  G06T7/70 ,  G09G5/397

CPC classification number: G09G5/363 ,  G06F3/1446 ,  G06T1/20 ,  G06T1/60 ,  G06T3/0093 ,  G06T7/70 ,  G06T15/005 ,  G06T15/20 ,  G06T15/405 ,  G06T2210/08 ,  G06T2210/36 ,  G06T2210/52 ,  G09G3/003 ,  G09G5/001 ,  G09G5/377 ,  G09G5/391 ,  G09G5/397 ,  G09G2300/026 ,  G09G2320/0252 ,  G09G2330/023 ,  G09G2340/0407 ,  G09G2340/0428 ,  G09G2352/00 ,  G09G2354/00 ,  G09G2360/06 ,  G09G2360/08 ,  G09G2360/121 ,  G09G2360/122

Abstract: Systems, methods and apparatuses may provide for technology to reduce rendering overhead associated with light field displays. The technology may conduct data formatting, re-projection, foveation, tile binning and/or image warping operations with respect to a plurality of display planes in a light field display.

公开(公告)号：US20180286115A1

公开(公告)日：2018-10-04

申请号：US15477016

申请日：2017-04-01

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Karthik Vaidyanathan ,  Murali Ramadoss ,  Michael Apodaca ,  Abhishek Venkatesh ,  Devan Burke ,  Philip R. Laws ,  Subramaniam Maiyuran ,  Abhishek R. Appu ,  ElMoustapha Ould-Ahmed-Vall ,  Peter L. Doyle

IPC: G06T15/80 ,  G06T5/20 ,  G06F9/50 ,  G06T1/20

CPC classification number: G06T15/80 ,  G06F9/50 ,  G06F9/5011 ,  G06T1/20 ,  G06T5/20

Abstract: An embodiment of a conditional shader apparatus may include a conditional pixel shader to determine if one or more pixels meet a shader condition, and a pixel regrouper communicatively coupled to the conditional pixel shader to regroup pixels based on whether the one or more pixels are determined to meet the shader condition. Another embodiment of a conditional shader apparatus may include a thread analyzer to determine if a set of threads meet a thread condition, and a conditional kernel loader communicatively coupled to the thread analyzer to load an appropriate kernel from a set of two or more kernels based on whether the set of threads are determined to meet the thread condition. Other embodiments are disclosed and claimed.

公开(公告)号：US20170279677A1

公开(公告)日：2017-09-28

申请号：US15080335

申请日：2016-03-24

Applicant: INTEL CORPORATION

Inventor： Devan Burke ,  Robert B. Taylor ,  Travis T. Schluessler

IPC: H04L12/24 ,  H04L12/26

CPC classification number: H04L41/0816 ,  H04L43/0817 ,  H04L43/50

Abstract: A mechanism is described for facilitating system characterization and configuration distribution for promoting improved performance at computing devices. A method of embodiments, as described herein, includes selecting a computing device from a plurality of computing devices to perform a test relating to a default configuration corresponding to the computing device, where the computing device is selected based on at least one of a workload being initiated at the computing device or overall performance of the computing device. The method may further include evaluating feedback data resulting from the test to decide whether a change is necessitated for the default configuration, and computing a new configuration to replace the default configuration at the computing device, if the change is necessitated for the default configuration.

公开(公告)号：US20250053797A1

公开(公告)日：2025-02-13

申请号：US18812822

申请日：2024-08-22

Applicant: Intel Corporation

Inventor： Amit Bleiweiss ,  Abhishek Venkatesh ,  Gokce Keskin ,  John Gierach ,  Oguz Elibol ,  Tomer Bar-On ,  Huma Abidi ,  Devan Burke ,  Jaikrishnan Menon ,  Eriko Nurvitadhi ,  Pruthvi Gowda Thorehosur Appajigowda ,  Travis T. Schluessler ,  Dhawal Srivastava ,  Nishant Patel ,  Anil Thomas

IPC: G06N3/063 ,  G06F9/38 ,  G06N3/04 ,  G06N3/08 ,  G06N5/046 ,  G06N20/00 ,  G06T1/20

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a at least one processor to perform operations to implement a neural network and compute logic to accelerate neural network computations.

公开(公告)号：US20240354043A1

公开(公告)日：2024-10-24

申请号：US18648737

申请日：2024-04-29

Applicant: Intel Corporation

Inventor： Eric J. Asperheim ,  Subramaniam Maiyuran ,  Kiran C. Veernapu ,  Sanjeev S. Jahagirdar ,  Balaji Vembu ,  Devan Burke ,  Philip R. Laws ,  Kamal Sinha ,  Abhishek R. Appu ,  Elmoustapha Ould-Ahmed-Vall ,  Peter L. Doyle ,  Joydeep Ray ,  Travis T. Schluessler ,  John H. Feit ,  Nikos Kaburlasos ,  Jacek Kwiatkowski ,  Altug Koker

IPC: G06F3/14 ,  G06F3/01 ,  G06F3/0484 ,  G09G5/00 ,  G09G5/391

CPC classification number: G06F3/1438 ,  G06F3/013 ,  G06F3/0484 ,  G09G5/391 ,  G09G5/001 ,  G09G2340/0435 ,  G09G2352/00 ,  G09G2354/00 ,  G09G2360/08 ,  G09G2360/121

Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.

公开(公告)号：US12086705B2

公开(公告)日：2024-09-10

申请号：US15858014

申请日：2017-12-29

Applicant: Intel Corporation

Inventor： Amit Bleiweiss ,  Abhishek Venkatesh ,  Gokce Keskin ,  John Gierach ,  Oguz Elibol ,  Tomer Bar-On ,  Huma Abidi ,  Devan Burke ,  Jaikrishnan Menon ,  Eriko Nurvitadhi ,  Pruthvi Gowda Thorehosur Appajigowda ,  Travis T. Schluessler ,  Dhawal Srivastava ,  Nishant Patel ,  Anil Thomas

IPC: G06N3/063 ,  G06F9/38 ,  G06N3/04 ,  G06N3/08 ,  G06N5/046 ,  G06N20/00 ,  G06T1/20

CPC classification number: G06N3/063 ,  G06F9/3887 ,  G06N3/04 ,  G06N3/08 ,  G06N5/046 ,  G06N20/00 ,  G06T1/20

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a at least one processor to perform operations to implement a neural network and compute logic to accelerate neural network computations.

公开(公告)号：US20240257294A1

公开(公告)日：2024-08-01

申请号：US18436494

申请日：2024-02-08

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06F8/41 ,  G06F9/455 ,  G06F9/50 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084

CPC classification number: G06T1/20 ,  G06F9/45533 ,  G06F9/5061 ,  G06F9/5094 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06F8/41 ,  G06F2009/45583

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

公开(公告)号：US11922535B2

公开(公告)日：2024-03-05

申请号：US18168207

申请日：2023-02-13

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06F9/455 ,  G06F9/50 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06F8/41

CPC classification number: G06T1/20 ,  G06F9/45533 ,  G06F9/5061 ,  G06F9/5094 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06F8/41 ,  G06F2009/45583

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

公开(公告)号：US11763515B2

公开(公告)日：2023-09-19

申请号：US17206584

申请日：2021-03-19

Applicant: Intel Corporation

Inventor： Devan Burke ,  Abhishek Venkatesh ,  Travis Schluessler

IPC: G06T15/04 ,  G06T15/00 ,  G06T15/80

CPC classification number: G06T15/04 ,  G06T15/005 ,  G06T15/80

Abstract: One embodiment provides a graphics processor comprising a hardware graphics rendering pipeline configured to perform multisample anti-aliasing, the hardware graphics rendering pipeline including pixel processing logic to determine that each sample location of a pixel of a multisample surface is associated with a clear value and resolve a color value for the pixel to a non-multisample surface via a write of metadata to indicate that the pixel has the clear value. The resolve can be a stenciled resolve that automatically bypasses execution of a pixel shader for pixels having clear color data.

公开(公告)号：US20230260072A1

公开(公告)日：2023-08-17

申请号：US18168207

申请日：2023-02-13

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06F9/455 ,  G06F9/50 ,  G06N3/063 ,  G06N3/084 ,  G06N3/044 ,  G06N3/045

CPC classification number: G06T1/20 ,  G06F9/45533 ,  G06F9/5061 ,  G06F9/5094 ,  G06N3/063 ,  G06N3/084 ,  G06N3/044 ,  G06N3/045 ,  G06F8/41

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.