公开(公告)号：US20240013337A1

公开(公告)日：2024-01-11

申请号：US18351898

申请日：2023-07-13

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  John C. Weast ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan ,  Dukhwan Kim

IPC: G06T1/20 ,  G06F9/46 ,  G06N3/063 ,  G06N3/045 ,  G06N3/08

CPC classification number: G06T1/20 ,  G06F9/46 ,  G06N3/063 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084

Abstract: A mechanism is described for detecting, at training time, information related to one or more tasks to be performed by the one or more processors according to a training dataset for a neural network, analyzing the information to determine one or more portions of hardware of a processor of the one or more processors that is configurable to support the one or more tasks, configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks, and monitoring utilization of the hardware via a hardware unit of the graphics processor and, via a scheduler of the graphics processor, adjusting allocation of the one or more tasks to the one or more portions of the hardware based on the utilization.

公开(公告)号：US11798198B2

公开(公告)日：2023-10-24

申请号：US18152643

申请日：2023-01-10

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Ben Ashbaugh ,  Prasoonkumar Surti ,  Pradeep Ramani ,  Rama Harihara ,  Jerin C. Justin ,  Jing Huang ,  Xiaoming Cui ,  Timothy B. Costa ,  Ting Gong ,  Elmoustapha Ould-ahmed-vall ,  Kumar Balasubramanian ,  Anil Thomas ,  Oguz H. Elibol ,  Jayaram Bobba ,  Guozhong Zhuang ,  Bhavani Subramanian ,  Gokce Keskin ,  Chandrasekaran Sakthivel ,  Rajesh Poornachandran

IPC: G06T9/00 ,  G06F12/02 ,  G06T15/00

CPC classification number: G06T9/002 ,  G06F12/023 ,  G06T15/005 ,  G06F2212/302 ,  G06F2212/401

Abstract: Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.

公开(公告)号：US11756247B2

公开(公告)日：2023-09-12

申请号：US17194819

申请日：2021-03-08

Applicant: Intel Corporation

Inventor： Deepak S. Vembar ,  Atsuo Kuwahara ,  Chandrasekaran Sakthivel ,  Radhakrishnan Venkataraman ,  Brent E. Insko ,  Anupreet S. Kalra ,  Hugues Labbe ,  Abhishek R. Appu ,  Ankur N. Shah ,  Joydeep Ray ,  ElMoustapha Ould-Ahmed-Vall ,  James M. Holland

IPC: G09G5/00 ,  G06T11/60 ,  G06T9/00 ,  H04N19/124 ,  H04N19/167 ,  H04N19/17 ,  H04N19/436 ,  H04N19/503

CPC classification number: G06T11/60 ,  G06T9/00 ,  H04N19/124 ,  H04N19/167 ,  H04N19/17 ,  H04N19/436 ,  H04N19/503

Abstract: An embodiment of a graphics apparatus may include a focus identifier to identify a focus area, and a color compressor to selectively compress color data based on the identified focus area. Another embodiment of a graphics apparatus may include a motion detector to detect motion of a real object, a motion predictor to predict a motion of the real object, and an object placer to place a virtual object relative to the real object based on the predicted motion of the real object. Another embodiment of a graphics apparatus may include a frame divider to divide a frame into viewports, a viewport prioritizer to prioritize the viewports, a renderer to render a viewport of the frame in order in accordance with the viewport priorities, and a viewport transmitter to transmit a completed rendered viewport. Other embodiments are disclosed and claimed.

公开(公告)号：US11704565B2

公开(公告)日：2023-07-18

申请号：US17685462

申请日：2022-03-03

Applicant: Intel Corporation

Inventor： Srinivas Sridharan ,  Karthikeyan Vaidyanathan ,  Dipankar Das ,  Chandrasekaran Sakthivel ,  Mikhail E. Smorkalov

IPC: G06N3/08 ,  G06N3/088 ,  G06F9/50 ,  G06N3/084 ,  G06N3/044 ,  G06N3/045 ,  G06N3/04 ,  G06N3/063 ,  G06N3/048 ,  G06N7/01

CPC classification number: G06N3/08 ,  G06F9/50 ,  G06F9/5061 ,  G06F9/5077 ,  G06N3/04 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06N3/088 ,  G06N3/048 ,  G06N7/01

Abstract: Embodiments described herein provide a system to configure distributed training of a neural network, the system comprising memory to store a library to facilitate data transmission during distributed training of the neural network; a network interface to enable transmission and receipt of configuration data associated with a set of worker nodes, the worker nodes configured to perform distributed training of the neural network; and a processor to execute instructions provided by the library. The instructions cause the processor to create one or more groups of the worker nodes, the one or more groups of worker nodes to be created based on a communication pattern for messages to be transmitted between the worker nodes during distributed training of the neural network. The processor can transparently adjust communication paths between worker nodes based on the communication pattern.

公开(公告)号：US11520555B2

公开(公告)日：2022-12-06

申请号：US17162864

申请日：2021-01-29

Applicant: Intel Corporation

Inventor： Deepak S. Vembar ,  Atsuo Kuwahara ,  Chandrasekaran Sakthivel ,  Radhakrishnan Venkataraman ,  Brent E. Insko ,  Anupreet S. Kalra ,  Hugues Labbe ,  Altug Koker ,  Michael Apodaca ,  Kai Xiao ,  Jeffery S. Boles ,  Adam T. Lake ,  David M. Cimini ,  Balaji Vembu ,  Elmoustapha Ould-Ahmed-Vall ,  Jacek Kwiatkowski ,  Philip R. Laws ,  Ankur N. Shah ,  Abhishek R. Appu ,  Joydeep Ray ,  Wenyin Fu ,  Nikos Kaburlasos ,  Prasoonkumar Surti ,  Bhushan M. Borole

IPC: G06F3/14 ,  G06F3/147 ,  G06T1/20 ,  G09G5/36 ,  H04L65/402 ,  G09G3/00 ,  H04L67/131

Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.

公开(公告)号：US11514721B2

公开(公告)日：2022-11-29

申请号：US17221283

申请日：2021-04-02

Applicant: Intel Corporation

Inventor： Radhakrishnan Venkataraman ,  James M. Holland ,  Sayan Lahiri ,  Pattabhiraman K ,  Kamal Sinha ,  Chandrasekaran Sakthivel ,  Daniel Pohl ,  Vivek Tiwari ,  Philip R. Laws ,  Subramaniam Maiyuran ,  Abhishek R. Appu ,  ElMoustapha Ould-Ahmed-Vall ,  Peter L. Doyle ,  Devan Burke

IPC: G06V40/18 ,  G09G5/10 ,  G09G5/391 ,  G06F3/01 ,  G06F3/147 ,  G09G5/00 ,  G09G5/393 ,  G09G5/36

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

公开(公告)号：US20220327357A1

公开(公告)日：2022-10-13

申请号：US17723074

申请日：2022-04-18

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/04 ,  G06F9/50 ,  G06N3/063 ,  G06N3/08

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.

公开(公告)号：US10956330B2

公开(公告)日：2021-03-23

申请号：US16727127

申请日：2019-12-26

Applicant: Intel Corporation

Inventor： Chandrasekaran Sakthivel ,  Prasoonkumar Surti ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Abhishek R. Appu ,  Nicolas C. Galoppo Von Borries ,  Joydeep Ray ,  Narayan Srinivasa ,  Feng Chen ,  Ben J. Ashbaugh ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Altug Koker

IPC: G06F12/0837 ,  G06N3/08 ,  G06N20/00 ,  G06T1/20 ,  G06F12/0815 ,  G06N3/063 ,  G06N3/04

Abstract: In an example, an apparatus comprises a plurality of processing unit cores, a plurality of cache memory modules associated with the plurality of processing unit cores, and a machine learning model communicatively coupled to the plurality of processing unit cores, wherein the plurality of cache memory modules share cache coherency data with the machine learning model. Other embodiments are also disclosed and claimed.

公开(公告)号：US10929749B2

公开(公告)日：2021-02-23

申请号：US15494948

申请日：2017-04-24

Applicant: Intel Corporation

Inventor： Narayan Srinivasa ,  Joydeep Ray ,  Nicolas C. Galoppo Von Borries ,  Ben Ashbaugh ,  Prasoonkumar Surti ,  Feng Chen ,  Barath Lakshmanan ,  Elmoustapha Ould-Ahmed-Vall ,  Liwei Ma ,  Linda L. Hurd ,  Abhishek R. Appu ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Chandrasekaran Sakthivel ,  Farshad Akhbari ,  Dukhwan Kim ,  Altug Koker ,  Nadathur Rajagopalan Satish

IPC: G06F9/30 ,  G06F9/38 ,  G06F9/28 ,  G06F9/302 ,  G06F15/00 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: An apparatus to facilitate optimization of a neural network (NN) is disclosed. The apparatus includes optimization logic to define a NN topology having one or more macro layers, adjust the one or more macro layers to adapt to input and output components of the NN and train the NN based on the one or more macro layers.

公开(公告)号：US10719760B2

公开(公告)日：2020-07-21

申请号：US15482793

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/04 ,  G06F9/50 ,  G06N3/063 ,  G06N3/08

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.