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公开(公告)号:US20250037359A1
公开(公告)日:2025-01-30
申请号:US18793166
申请日:2024-08-02
Applicant: Intel Corporation
Inventor: Prasoonkumar Surti , Abhishek R. Appu , Joydeep Ray
Abstract: Systems, apparatuses and methods may provide for technology that selects an anti-aliasing mode for a vertex of a primitive based on a parameter associated with the vertex and generates a coverage mask based on the selected anti-aliasing mode. Additionally, one or more pixels corresponding to the vertex may be shaded based at least partly on the coverage mask, wherein the selected anti-aliasing mode varies across a plurality of vertices in the primitive.
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公开(公告)号:US12198221B2
公开(公告)日:2025-01-14
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
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:US20250005703A1
公开(公告)日:2025-01-02
申请号:US18773094
申请日:2024-07-15
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 , G06F3/14 , G06F9/30 , G06F9/38 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/084 , G06T15/00 , G06T15/04 , G09G5/36
Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a mixed precision core including mixed-precision execution circuitry to execute one or more of the mixed-precision instructions to perform a mixed-precision dot-product operation comprising to perform a set of multiply and accumulate operations.
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公开(公告)号:US20240427842A1
公开(公告)日:2024-12-26
申请号:US18674212
申请日:2024-05-24
Applicant: Intel Corporation
Inventor: Joydeep Ray , Fangwen Fu , Dhiraj D. Kalamkar , Sasikanth Avancha
Abstract: An apparatus to facilitate machine learning matrix processing is disclosed. The apparatus comprises a memory to store matrix data one or more processors to execute an instruction to examine a message descriptor included in the instruction to determine a type of matrix layout manipulation operation that is to be executed, examine a message header included in the instruction having a plurality of parameters that define a two-dimensional (2D) memory surface that is to be retrieved, retrieve one or more blocks of the matrix data from the memory based on the plurality of parameters and a register file including a plurality of registers, wherein the one or more blocks of the matrix data is stored within a first set of the plurality of registers.
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公开(公告)号:US12147302B2
公开(公告)日:2024-11-19
申请号:US17095530
申请日:2020-11-11
Applicant: Intel Corporation
Inventor: Vasanth Ranganathan , Joydeep Ray , Abhishek R. Appu , Nikos Kaburlasos , Lidong Xu , Subramaniam Maiyuran , Altug Koker , Naveen Matam , James Holland , Brent Insko , Sanjeev Jahagirdar , Scott Janus , Durgaprasad Bilagi , Xinmin Tian
IPC: G06F11/10 , G06F12/0802 , G06T1/20 , G06T1/60
Abstract: Apparatuses including a graphics processing unit, graphics multiprocessor, or graphics processor having an error detection correction logic for cache memory or shared memory are disclosed. In one embodiment, a graphics multiprocessor includes cache or local memory for storing data and error detection correction circuitry integrated with or coupled to the cache or local memory. The error detection correction circuitry is configured to perform a tag read for data of the cache or local memory to check error detection correction information.
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公开(公告)号:US20240355032A1
公开(公告)日:2024-10-24
申请号:US18436688
申请日:2024-02-08
Applicant: Intel Corporation
Inventor: Atsuo Kuwahara , Deepak S. Vembar , Chandrasekaran Sakthivel , Radhakrishnan Venkataraman , Brent E. Insko , Anupreet S. Kalra , Hugues Labbe , Abhishek R. Appu , Ankur N. Shah , Joydeep Ray , Elmoustapha Ould-Ahmed-Vall , Prasoonkumar Surti , Murali Ramadoss
CPC classification number: G06T15/005 , G06F9/5027 , G06T15/04 , G06T15/80 , G06T17/10 , G06T2215/16
Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The graphics subsystem may include a first graphics engine to process a graphics workload, and a second graphics engine to offload at least a portion of the graphics workload from the first graphics engine. The second graphics engine may include a low precision compute engine. The system may further include a wearable display housing the second graphics engine. Other embodiments are disclosed and claimed.
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公开(公告)号:US12124383B2
公开(公告)日:2024-10-22
申请号:US17862739
申请日:2022-07-12
Applicant: Intel Corporation
Inventor: Altug Koker , Joydeep Ray , Elmoustapha Ould-Ahmed-Vall , Abhishek Appu , Aravindh Anantaraman , Valentin Andrei , Durgaprasad Bilagi , Varghese George , Brent Insko , Sanjeev Jahagirdar , Scott Janus , Pattabhiraman K , SungYe Kim , Subramaniam Maiyuran , Vasanth Ranganathan , Lakshminarayanan Striramassarma , Xinmin Tian
IPC: G06F12/00 , G06F12/0875 , G06F12/0891 , G06F12/123 , G06T1/60
CPC classification number: G06F12/123 , G06F12/0875 , G06F12/0891 , G06T1/60 , G06F2212/302
Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache memory that is coupled to the processing resources. The cache controller is configured to set an initial aging policy using an aging field based on age of cache lines within the cache memory and to determine whether a hint or an instruction to indicate a level of aging has been received. In one embodiment, the cache memory configured to be partitioned into multiple cache regions, wherein the multiple cache regions include a first cache region having a cache eviction policy with a configurable level of data persistence.
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公开(公告)号:US12093210B2
公开(公告)日:2024-09-17
申请号:US17430574
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Aravindh Anantaraman , Elmoustapha Ould-Ahmed-Vall , Joydeep Ray , Mike Macpherson , Valentin Andrei , Nicolas Galoppo Von Borries , Varghese George , Subramaniam Maiyuran , Vasanth Ranganathan , Jayakrishna P S , K Pattabhiraman , Sudhakar Kamma
IPC: G06F15/78 , G06F7/544 , G06F7/575 , G06F7/58 , G06F9/30 , G06F9/38 , G06F9/50 , G06F12/02 , G06F12/06 , G06F12/0802 , G06F12/0804 , G06F12/0811 , G06F12/0862 , G06F12/0866 , G06F12/0871 , G06F12/0875 , G06F12/0882 , G06F12/0888 , G06F12/0891 , G06F12/0893 , G06F12/0895 , G06F12/0897 , G06F12/1009 , G06F12/128 , G06F15/80 , G06F17/16 , G06F17/18 , G06T1/20 , G06T1/60 , H03M7/46 , G06N3/08 , G06T15/06
CPC classification number: G06F15/7839 , G06F7/5443 , G06F7/575 , G06F7/588 , G06F9/3001 , G06F9/30014 , G06F9/30036 , G06F9/3004 , G06F9/30043 , G06F9/30047 , G06F9/30065 , G06F9/30079 , G06F9/3887 , G06F9/5011 , G06F9/5077 , G06F12/0215 , G06F12/0238 , G06F12/0246 , G06F12/0607 , G06F12/0802 , G06F12/0804 , G06F12/0811 , G06F12/0862 , G06F12/0866 , G06F12/0871 , G06F12/0875 , G06F12/0882 , G06F12/0888 , G06F12/0891 , G06F12/0893 , G06F12/0895 , G06F12/0897 , G06F12/1009 , G06F12/128 , G06F15/8046 , G06F17/16 , G06F17/18 , G06T1/20 , G06T1/60 , H03M7/46 , G06F9/3802 , G06F9/3818 , G06F9/3867 , G06F2212/1008 , G06F2212/1021 , G06F2212/1044 , G06F2212/302 , G06F2212/401 , G06F2212/455 , G06F2212/60 , G06N3/08 , G06T15/06
Abstract: Methods and apparatus relating to techniques for data compression. In an example, an apparatus comprises a processor receive a data compression instruction for a memory segment; and in response to the data compression instruction, compress a sequence of identical memory values in response to a determination that the sequence of identical memory values has a length which exceeds a threshold. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20240280987A1
公开(公告)日:2024-08-22
申请号:US18595649
申请日:2024-03-05
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Joydeep Ray , Balaji Vembu , John C. Weast , Mike B. Macpherson , Dukhwan Kim , Linda L. Hurd , Sanjeev Jahagirdar , Vasanth Ranganathan
IPC: G05D1/00 , G06F9/46 , G06F9/48 , G06F9/52 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/084 , G06T1/20
CPC classification number: G05D1/0088 , G06F9/4881 , G06F9/522 , G06N3/044 , G06N3/045 , G06N3/063 , G06N3/084 , G06F9/46 , G06T1/20
Abstract: A mechanism is described for facilitating barriers and synchronization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting thread groups relating to machine learning associated with one or more processing devices. The method may further include facilitating barrier synchronization of the thread groups across multiple dies such that each thread in a thread group is scheduled across a set of compute elements associated with the multiple dies, where each die represents a processing device of the one or more processing devices, the processing device including a graphics processor.
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公开(公告)号:US12056906B2
公开(公告)日:2024-08-06
申请号:US18466141
申请日:2023-09-13
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
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.
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