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公开(公告)号:US12117962B2
公开(公告)日:2024-10-15
申请号:US18450685
申请日:2023-08-16
Applicant: Intel Corporation
Inventor: Joydeep Ray , Aravindh Anantaraman , Abhishek R. Appu , Altug Koker , Elmoustapha Ould-Ahmed-Vall , Valentin Andrei , Subramaniam Maiyuran , Nicolas Galoppo Von Borries , Varghese George , Mike Macpherson , Ben Ashbaugh , Murali Ramadoss , Vikranth Vemulapalli , William Sadler , Jonathan Pearce , Sungye Kim
CPC classification number: G06F15/8069 , G06F9/30163 , G06F9/3877 , G06T15/005 , G06F9/3836
Abstract: Methods and apparatus relating to scalar core integration in a graphics processor. In an example, an apparatus comprises a processor to receive a set of workload instructions for a graphics workload from a host complex, determine a first subset of operations in the set of operations that is suitable for execution by a scalar processor complex of the graphics processing device and a second subset of operations in the set of operations that is suitable for execution by a vector processor complex of the graphics processing device, assign the first subset of operations to the scalar processor complex for execution to generate a first set of outputs, assign the second subset of operations to the vector processor complex for execution to generate a second set of outputs. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20240320184A1
公开(公告)日:2024-09-26
申请号:US18620284
申请日:2024-03-28
Applicant: Intel Corporation
Inventor: Altug Koker , Ben Ashbaugh , Scott Janus , Aravindh Anantaraman , Abhishek R. Appu , Niranjan Cooray , Varghese George , Arthur Hunter , Brent E. Insko , Elmoustapha Ould-Ahmed-Vall , Selvakumar Panneer , Vasanth Ranganathan , Joydeep Ray , Kamal Sinha , Lakshminarayanan Striramassarma , Prasoonkumar Surti , Saurabh Tangri
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 , G06N3/08 , G06T1/20 , G06T1/60 , G06T15/06 , H03M7/46
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: Embodiments are generally directed to a multi-tile architecture for graphics operations. An embodiment of an apparatus includes a multi-tile architecture for graphics operations including a multi-tile graphics processor, the multi-tile processor includes one or more dies; multiple processor tiles installed on the one or more dies; and a structure to interconnect the processor tiles on the one or more dies, wherein the structure to enable communications between processor tiles the processor tiles.
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公开(公告)号:US11892950B2
公开(公告)日:2024-02-06
申请号:US17865666
申请日:2022-07-15
Applicant: Intel Corporation
Inventor: Vikranth Vemulapalli , Lakshminarayanan Striramassarma , Mike MacPherson , Aravindh Anantaraman , Ben Ashbaugh , Murali Ramadoss , William B. Sadler , Jonathan Pearce , Scott Janus , Brent Insko , Vasanth Ranganathan , Kamal Sinha , Arthur Hunter, Jr. , Prasoonkumar Surti , Nicolas Galoppo von Borries , Joydeep Ray , Abhishek R. Appu , ElMoustapha Ould-Ahmed-Vall , Altug Koker , Sungye Kim , Subramaniam Maiyuran , Valentin Andrei
IPC: G06F12/084 , G06F12/0862 , G06T1/20 , G06T1/60
CPC classification number: G06F12/0862 , G06T1/20 , G06T1/60 , G06F2212/602 , G06F2212/608
Abstract: Embodiments are generally directed to data prefetching for graphics data processing. An embodiment of an apparatus includes one or more processors including one or more graphics processing units (GPUs); and a plurality of caches to provide storage for the one or more GPUs, the plurality of caches including at least an L1 cache and an L3 cache, wherein the apparatus to provide intelligent prefetching of data by a prefetcher of a first GPU of the one or more GPUs including measuring a hit rate for the L1 cache; upon determining that the hit rate for the L1 cache is equal to or greater than a threshold value, limiting a prefetch of data to storage in the L3 cache, and upon determining that the hit rate for the L1 cache is less than a threshold value, allowing the prefetch of data to the L1 cache.
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公开(公告)号:US11281496B2
公开(公告)日:2022-03-22
申请号:US16355130
申请日:2019-03-15
Applicant: Intel Corporation
Inventor: Ben Ashbaugh , Jonathan Pearce , Murali Ramadoss , Vikranth Vemulapalli , William B. Sadler , Sungye Kim , Marian Alin Petre
IPC: G06F9/46 , G06F9/50 , G06F9/38 , G06F9/54 , G06F12/0837 , G06F9/48 , G06F9/345 , G06T1/60 , G06F9/30 , G06T15/00 , G06F16/245 , G06T1/20
Abstract: Embodiments are generally directed to thread group scheduling for graphics processing. An embodiment of an apparatus includes a plurality of processors including a plurality of graphics processors to process data; a memory; and one or more caches for storage of data for the plurality of graphics processors, wherein the one or more processors are to schedule a plurality of groups of threads for processing by the plurality of graphics processors, the scheduling of the plurality of groups of threads including the plurality of processors to apply a bias for scheduling the plurality of groups of threads according to a cache locality for the one or more caches.
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公开(公告)号:US10796472B2
公开(公告)日:2020-10-06
申请号:US16024821
申请日:2018-06-30
Applicant: Intel Corporation
Inventor: Michael Apodaca , Ankur Shah , Ben Ashbaugh , Brandon Fliflet , Hema Nalluri , Pattabhiraman K , Peter Doyle , Joseph Koston , James Valerio , Murali Ramadoss , Altug Koker , Aditya Navale , Prasoonkumar Surti , Balaji Vembu
IPC: G06T15/00
Abstract: Apparatus and method for simultaneous command streamers. For example, one embodiment of an apparatus comprises: a plurality of work element queues to store work elements for a plurality of thread contexts, each work element associated with a context descriptor identifying a context storage region in memory; a plurality of command streamers, each command streamer associated with one of the plurality of work element queues, the command streamers to independently submit instructions for execution as specified by the work elements; a thread dispatcher to evaluate the thread contexts including priority values, to tag each instruction with an execution identifier (ID), and to responsively dispatch each instruction including the execution ID in accordance with the thread context; and a plurality of graphics functional units to independently execute each instruction dispatched by the thread dispatcher and to associate each instruction with a thread context based on its execution ID.
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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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公开(公告)号:US20240256456A1
公开(公告)日:2024-08-01
申请号:US18391346
申请日:2023-12-20
Applicant: Intel Corporation
Inventor: Vikranth Vemulapalli , Lakshminarayanan Striramassarma , Mike MacPherson , Aravindh Anantaraman , Ben Ashbaugh , Murali Ramadoss , William B. Sadler , Jonathan Pearce , Scott Janus , Brent Insko , Vasanth Ranganathan , Kamal Sinha , Arthur Hunter, Jr. , Prasoonkumar Surti , Nicolas Galoppo von Borries , Joydeep Ray , Abhishek R. Appu , ElMoustapha Ould-Ahmed-Vall , Altug Koker , Sungye Kim , Subramaniam Maiyuran , Valentin Andrei
IPC: G06F12/0862 , G06T1/20 , G06T1/60
CPC classification number: G06F12/0862 , G06T1/20 , G06T1/60 , G06F2212/602 , G06F2212/608
Abstract: Embodiments are generally directed to data prefetching for graphics data processing. An embodiment of an apparatus includes one or more processors including one or more graphics processing units (GPUs); and a plurality of caches to provide storage for the one or more GPUs, the plurality of caches including at least an L1 cache and an L3 cache, wherein the apparatus to provide intelligent prefetching of data by a prefetcher of a first GPU of the one or more GPUs including measuring a hit rate for the Li cache; upon determining that the hit rate for the L1 cache is equal to or greater than a threshold value, limiting a prefetch of data to storage in the L3 cache, and upon determining that the hit rate for the L1 cache is less than a threshold value, allowing the prefetch of data to the L1 cache.
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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
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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公开(公告)号:US20220261289A1
公开(公告)日:2022-08-18
申请号:US17686089
申请日:2022-03-03
Applicant: Intel Corporation
Inventor: Ben Ashbaugh , Jonathan Pearce , Murali Ramadoss , Vikranth Vemulapalli , William B. Sadler , Sungye Kim , Marian Alin Petre
Abstract: Embodiments are generally directed to thread group scheduling for graphics processing. An embodiment of an apparatus includes a plurality of processors including a plurality of graphics processors to process data; a memory; and one or more caches for storage of data for the plurality of graphics processors, wherein the one or more processors are to schedule a plurality of groups of threads for processing by the plurality of graphics processors, the scheduling of the plurality of groups of threads including the plurality of processors to apply a bias for scheduling the plurality of groups of threads according to a cache locality for the one or more caches.
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公开(公告)号:US20220156879A1
公开(公告)日:2022-05-19
申请号:US16951217
申请日:2020-11-18
Applicant: Intel Corporation
Inventor: Michal Mrozek , Bartosz Dunajski , Ben Ashbaugh , Brandon Fliflet
Abstract: An apparatus to facilitate processing in a multi-tile device is disclosed. The apparatus comprises a plurality of processing tiles, each including a memory device and a plurality of processing resources, coupled to the device memory, and a memory management unit to manage the memory devices in each of the plurality of tiles to perform allocation of memory resources among the memory devices for execution by the plurality of processing resources.
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