公开(公告)号：US11748841B2

公开(公告)日：2023-09-05

申请号：US17871781

申请日：2022-07-22

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 ,  G06N3/063 ,  G06F9/46 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N3/044

CPC classification number: G06T1/20 ,  G06F9/46 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06N3/044 ,  G06N3/084

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning. A method of embodiments, as described herein, includes limiting execution of workloads for the respective contexts of a plurality of contexts to a specified subset of a plurality of processing resources of a processing system according to physical resource slices of the processing system that are associated with the respective contexts of the plurality of contexts.

公开(公告)号：US11557064B2

公开(公告)日：2023-01-17

申请号：US16750819

申请日：2020-01-23

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: G06T15/00 ,  G06T9/00 ,  G06F12/02

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：US11430082B2

公开(公告)日：2022-08-30

申请号：US17143805

申请日：2021-01-07

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 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and 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.

公开(公告)号：US20220245454A1

公开(公告)日：2022-08-04

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 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063

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：US11315007B2

公开(公告)日：2022-04-26

申请号：US16918220

申请日：2020-07-01

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 Strikland

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：US11217040B2

公开(公告)日：2022-01-04

申请号：US16383849

申请日：2019-04-15

Applicant: Intel Corporation

Inventor： Barath Lakshamanan ,  Linda L. Hurd ,  Ben J. Ashbaugh ,  Elmoustapha Ould-Ahmed-Vall ,  Liwei Ma ,  Jingyi Jin ,  Justin E. Gottschlich ,  Chandrasekaran Sakthivel ,  Michael S. Strickland ,  Brian T. Lewis ,  Lindsey Kuper ,  Altug Koker ,  Abhishek R. Appu ,  Prasoonkumar Surti ,  Joydeep Ray ,  Balaji Vembu ,  Javier S. Turek ,  Naila Farooqui

IPC: G05D1/00 ,  G07C5/00 ,  G08G1/01 ,  H04W28/08 ,  H04L29/08 ,  G06N20/00 ,  G06F9/50 ,  G01C21/34 ,  B60W30/00 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06N20/10 ,  G08G1/052 ,  G01S19/13 ,  H04L12/26 ,  G05D1/02

Abstract: One embodiment provides for a computing device within an autonomous vehicle, the compute device comprising a wireless network device to enable a wireless data connection with an autonomous vehicle network, a set of multiple processors including a general-purpose processor and a general-purpose graphics processor, the set of multiple processors to execute a compute manager to manage execution of compute workloads associated with the autonomous vehicle, the compute workload associated with autonomous operations of the autonomous vehicle, and offload logic configured to execute on the set of multiple processors, the offload logic to determine to offload one or more of the compute workloads to one or more autonomous vehicles within range of the wireless network device.

公开(公告)号：US20210350597A1

公开(公告)日：2021-11-11

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: 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：US20210263742A1

公开(公告)日：2021-08-26

申请号：US17195132

申请日：2021-03-08

Applicant: Intel Corporation

Inventor： Altug Koker ,  Michael Apodaca ,  Kai Xiao ,  Chandrasekaran Sakthivel ,  Jeffery S. Boles ,  Adam T. Lake ,  Abhishek R. Appu

IPC: G06F9/30 ,  G06F9/50 ,  G06T15/00 ,  G09G5/36 ,  G06T1/20

Abstract: Systems, apparatuses and methods may provide for technology that activates a first context on a graphics processor and detects a context switch condition with respect to the first context. Additionally, a second context may be activated, in response to the context switch condition, on the graphics processor while the first context is active on the graphics processor. In one example, activating the second context includes adding a group identifier to a plurality of threads corresponding to the second context and launching the plurality of threads with the group identifier on the graphics processor.

公开(公告)号：US20210201438A1

公开(公告)日：2021-07-01

申请号：US17143805

申请日：2021-01-07

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 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and 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.

公开(公告)号：US10970538B2

公开(公告)日：2021-04-06

申请号：US16181921

申请日：2018-11-06

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 ,  Eimoustapha Ould-Ahmed-Vall ,  Peter L. Doyle ,  Devan Burke

IPC: G09G5/391 ,  G06K9/00 ,  G09G5/10 ,  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.