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公开(公告)号:US10417734B2
公开(公告)日:2019-09-17
申请号:US15698217
申请日:2017-09-07
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 , G06T1/60 , G09G5/36 , G06F3/06 , G06N3/08 , G06F3/14 , G06N3/04 , G06N3/063 , G09G5/00
Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a memory device including a first integrated circuit (IC) including a plurality of memory channels and a second IC including a plurality of processing units, each coupled to a memory channel in the plurality of memory channels.
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公开(公告)号:US10403003B2
公开(公告)日:2019-09-03
申请号:US15494812
申请日:2017-04-24
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Joydeep Ray , Balaji Vembu , Prasoonkumar Surti , Kamal Sinha , Nadathur Rajagopalan Satish , Narayan Srinivasa , Feng Chen , Dukhwan Kim , Farshad Akhbari
IPC: G06T9/00
Abstract: An apparatus to facilitate compute compression is disclosed. The apparatus includes a graphics processing unit including mapping logic to map a first block of integer pixel data to a compression block and compression logic to compress the compression block.
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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:US10303953B2
公开(公告)日:2019-05-28
申请号:US15488555
申请日:2017-04-17
Applicant: Intel Corporation
Inventor: Mayuresh M. Varerkar , Barnan Das , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Sachin Godse , Farshad Akhbari , Narayan Srinivasa , Altug Koker , Nadathur Rajagopalan Satish , Dukhwan Kim , Feng Chen , Abhishek R. Appu , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman , Vasanth Ranganathan , Sanjeev Jahagirdar
Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
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公开(公告)号:US20180308207A1
公开(公告)日:2018-10-25
申请号:US15798574
申请日:2017-10-31
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Linda L. Hurd , Dukhwan Kim , Mike B. Macpherson , John C. Weast , Feng Chen , Farshad Akhbari , Narayan Srinivasa , Nadathur Rajagopalan Satish , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman
IPC: G06T1/20
CPC classification number: G06T1/20 , G06F9/3001 , G06F9/3017 , G06F9/3851 , G06F9/3887 , G06F9/3895 , G06F9/46 , G06N3/063 , G06T15/005 , G06T15/04 , G09G5/363
Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes sorting logic to sort processing threads into thread groups based on bit depth of floating point thread operations.
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公开(公告)号:US20250166115A1
公开(公告)日:2025-05-22
申请号:US18971949
申请日:2024-12-06
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
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.
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公开(公告)号:US11900665B2
公开(公告)日:2024-02-13
申请号:US18358067
申请日:2023-07-25
Applicant: Intel Corporation
Inventor: Barnan Das , Mayuresh M. Varerkar , Narayan Biswal , Stanley J. Baran , Gokcen Cilingir , Nilesh V. Shah , Archie Sharma , Sherine Abdelhak , Praneetha Kotha , Neelay Pandit , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Abhishek R. Appu , Altug Koker , Joydeep Ray
IPC: G06V10/82 , G06V40/10 , G06V10/94 , G06V10/764 , G06V40/20 , G06F16/783 , G06F16/583 , G06F18/2413 , G06V10/10
CPC classification number: G06V10/82 , G06F16/5838 , G06F16/784 , G06F18/24143 , G06V10/764 , G06V10/955 , G06V40/10 , G06V40/103 , G06V40/23
Abstract: A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.
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公开(公告)号:US20230401668A1
公开(公告)日:2023-12-14
申请号:US18456235
申请日:2023-08-25
Applicant: Intel Corporation
Inventor: Elmoustapha Ould-Ahmed-Vall , Sara S. Baghsorkhi , Anbang Yao , Kevin Nealis , Xiaoming Chen , Altug Koker , Abhishek R. Appu , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Ben J. Ashbaugh , Barath Lakshmanan , Liwei Ma , Joydeep Ray , Ping T. Tang , Michael S. Strickland
IPC: G06T1/20 , G06F7/483 , G06N3/084 , G06F9/30 , G06N3/063 , G06F9/50 , G06F9/38 , G06N3/044 , G06N3/045 , G06N20/00
CPC classification number: G06T1/20 , G06F7/483 , G06N3/084 , G06F9/30185 , G06F9/30014 , G06N3/063 , G06F9/5044 , G06F9/3863 , G06N3/044 , G06N3/045 , G06N20/00 , G06F3/14
Abstract: One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.
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公开(公告)号:US11748298B2
公开(公告)日:2023-09-05
申请号:US17826674
申请日:2022-05-27
Applicant: Intel Corporation
Inventor: Altug Koker , Farshad Akhbari , Feng Chen , Dukhwan Kim , Narayan Srinivasa , Nadathur Rajagopalan Satish , Liwei Ma , Jeremy Bottleson , Eriko Nurvitadhi , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu
IPC: G06F15/80 , G06F13/40 , G06T1/20 , G06F9/30 , G06F13/00 , G06N3/063 , G06N3/084 , G06N3/044 , G06N3/045 , G06N3/048
CPC classification number: G06F15/8007 , G06F9/3004 , G06F13/00 , G06F13/4027 , G06N3/044 , G06N3/045 , G06N3/048 , G06N3/063 , G06N3/084 , G06T1/20
Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.
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公开(公告)号:US11669932B2
公开(公告)日:2023-06-06
申请号:US17355267
申请日:2021-06-23
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Sara S. Baghsorkhi , Justin E. Gottschlich , Prasoonkumar Surti , Chandrasekaran Sakthivel , Joydeep Ray
CPC classification number: G06T1/20 , G06F9/544 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/084 , H04L67/10
Abstract: A mechanism is described for facilitating sharing of data and compression expansion of models at autonomous machines. A method of embodiments, as described herein, includes detecting a first processor processing information relating to a neural network at a first computing device, where the first processor comprises a first graphics processor and the first computing device comprises a first autonomous machine. The method further includes facilitating the first processor to store one or more portions of the information in a library at a database, where the one or more portions are accessible to a second processor of a computing device.
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