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51.
公开(公告)号:US20190287290A1
公开(公告)日:2019-09-19
申请号:US16271368
申请日:2019-02-08
Applicant: Intel Corporation
Inventor: Chandrasekaran Sakthivel , Michael Apodaca , Kai Xiao , Altug Koker , Jeffery S. Boles , Adam T. Lake , Nikos Kaburlasos , Joydeep Ray , John H. Feit , Travis T. Schluessler , Jacek Kwiatkowski , James M. Holland , Prasoonkumar Surti , Jonathan Kennedy , Louis Feng , Barnan Das , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Mayuresh M. Varerkar
Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
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公开(公告)号:US10304154B2
公开(公告)日:2019-05-28
申请号:US15495054
申请日:2017-04-24
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
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.
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公开(公告)号:US10261903B2
公开(公告)日:2019-04-16
申请号:US15489149
申请日:2017-04-17
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
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.
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公开(公告)号:US20190073514A1
公开(公告)日:2019-03-07
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 , ElMoustapha Ould-Ahmed-Vall , Peter L. Doyle , Devan Burke
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.
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公开(公告)号:US20180308202A1
公开(公告)日:2018-10-25
申请号:US15495054
申请日:2017-04-24
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
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.
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公开(公告)号:US20180307984A1
公开(公告)日:2018-10-25
申请号:US15494971
申请日:2017-04-24
Applicant: Intel Corporation
Inventor: Altug Koker , Abhishek R. Appu , Kamal Sinha , Joydeep Ray , Balaji Vembu , Elmoustapha Ould-Ahmed-Vall , Sara S. Baghsorkhi , Anbang Yao , Kevin Nealis , Xiaoming Chen , John C. Weast , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Farshad Akhbari , Nadathur Rajagopalan Satish , Liwei Ma , Jeremy Bottleson , Eriko Nurvitadhi , Travis T. Schluessler , Ankur N. Shah , Jonathan Kennedy , Vasanth Ranganathan , Sanjeev Jahagirdar
CPC classification number: G06N3/08 , G06F9/28 , G06F9/505 , G06N3/0445 , G06N3/0454 , G06N3/0481 , G06N3/063 , G06N99/005
Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20180300098A1
公开(公告)日:2018-10-18
申请号:US15489096
申请日:2017-04-17
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
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.
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公开(公告)号:US20180288423A1
公开(公告)日:2018-10-04
申请号:US15476990
申请日:2017-04-01
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: H04N19/167 , H04N19/186 , H04N19/597 , G06T9/00 , H04N19/436 , G06T11/60
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.
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公开(公告)号:US20180285109A1
公开(公告)日:2018-10-04
申请号:US15477012
申请日:2017-04-01
Applicant: Intel Corporation
Inventor: Altug Koker , Michael Apodaca , Kai Xiao , Chandrasekaran Sakthivel , Jeffery S. Boles , Adam T. Lake , Abhishek R. Appu
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.
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公开(公告)号:US11810405B2
公开(公告)日:2023-11-07
申请号:US17539083
申请日:2021-11-30
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: G01C22/00 , G07C5/00 , G05D1/00 , G08G1/01 , H04L67/12 , G06N20/00 , G06F9/50 , G01C21/34 , B60W30/00 , G06N3/063 , G06N3/084 , G06N20/10 , G06N3/044 , G06N3/045 , G08G1/052 , G01S19/13 , H04L43/0852 , G05D1/02 , H04L43/16
CPC classification number: G07C5/008 , B60W30/00 , G01C21/34 , G01C21/3415 , G01C21/3492 , G05D1/0088 , G06F9/5027 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/084 , G06N20/00 , G06N20/10 , G08G1/012 , H04L67/12 , G01S19/13 , G05D1/0257 , G05D2201/0213 , G06F2209/509 , G08G1/0112 , G08G1/052 , H04L43/0852 , H04L43/16
Abstract: An autonomous vehicle is provided that includes one or more processors configured to provide a local compute manager to manage execution of compute workloads associated with the autonomous vehicle. The local compute manager can perform various compute operations, including receiving offload of compute operations from to other compute nodes and offloading compute operations to other compute notes, where the other compute nodes can be other autonomous vehicles. The local compute manager can also facilitate autonomous navigation functionality.
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