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51.
公开(公告)号:US11360767B2
公开(公告)日:2022-06-14
申请号:US17305355
申请日:2021-07-06
Applicant: Intel Corporation
Inventor: Himanshu Kaul , Mark A. Anders , Sanu K. Mathew , Anbang Yao , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Kamal Sinha , Balaji Vembu , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Rajkishore Barik , Tsung-Han Lin , Vasanth Ranganathan , Sanjeev Jahagirdar
IPC: G06F9/30 , G09G5/393 , G06F9/38 , G06F7/483 , G06F7/544 , G06N3/04 , G06N3/063 , G06N3/08 , G06T15/00 , G06N20/00 , G06F17/16
Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.
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公开(公告)号:US11348198B2
公开(公告)日:2022-05-31
申请号:US17145885
申请日:2021-01-11
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: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type.
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公开(公告)号:US20220138895A1
公开(公告)日:2022-05-05
申请号:US17430041
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Vasanth Raganathan , Abhishek R. Appu , Ben Ashbaugh , Peter Doyle , Brandon Fliflet , Arthur Hunter , Brent Insko , Scott Janus , Altug Koker , Aditya Navale , Joydeep Ray , Kamal Sinha , Lakshminarayanan Striramassarma , Prasoonkumar Surti , James Valerio
Abstract: Embodiments are generally directed to compute optimization in graphics processing. An embodiment of an apparatus includes one or more processors including a multi-tile graphics processing unit (GPU) to process data, the multi-tile GPU including multiple processor tiles; and a memory for storage of data for processing, wherein the apparatus is to receive compute work for processing by the GPU, partition the compute work into multiple work units, assign each of multiple work units to one of the processor tiles, and process the compute work using the processor tiles assigned to the work units.
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公开(公告)号:US20220066726A1
公开(公告)日:2022-03-03
申请号:US17399103
申请日:2021-08-11
Applicant: Intel Corporation
Inventor: Eric J. Asperheim , Subramaniam M. Maiyuran , Kiran C. Veernapu , Sanjeev S. Jahagirdar , Balaji Vembu , Devan Burke , Philip R. Laws , Kamal Sinha , Abhishek R. Appu , Elmoustapha Ould-Ahmed-Vall , Peter L. Doyle , Joydeep Ray , Travis T. Schluessler , John H. Feit , Nikos Kaburlasos , Jacek Kwiatkowski , Altug Koker
IPC: G06F3/14 , G06F3/01 , G09G5/391 , G06F3/0484
Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.
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55.
公开(公告)号:US20220019431A1
公开(公告)日:2022-01-20
申请号:US17305355
申请日:2021-07-06
Applicant: Intel Corporation
Inventor: Himanshu Kaul , Mark A. Anders , Sanu K. Mathew , Anbang Yao , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Kamal Sinha , Balaji Vembu , Nicolas C. Galoppo Von Borries , Eriko Nurvitadhi , Rajkishore Barik , Tsung-Han Lin , Vasanth Ranganathan , Sanjeev Jahagirdar
IPC: G06F9/30 , G06N3/04 , G06F9/38 , G06F7/544 , G06N3/08 , G06N3/063 , G06F7/483 , G09G5/393 , G06T15/00 , G06F17/16 , G06N20/00
Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.
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公开(公告)号:US11210760B2
公开(公告)日:2021-12-28
申请号:US16928353
申请日:2020-07-14
Applicant: Intel Corporation
Inventor: Eriko Nurvitadhi , Balaji Vembu , Nicolas C. Galoppo Von Borries , Rajkishore Barik , Tsung-Han Lin , Kamal Sinha , Nadathur Rajagopalan Satish , Jeremy Bottleson , Farshad Akhbari , Altug Koker , Narayan Srinivasa , Dukhwan Kim , Sara S. Baghsorkhi , Justin E. Gottschlich , Feng Chen , Elmoustapha Ould-Ahmed-Vall , Kevin Nealis , Xiaoming Chen , Anbang Yao
Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex machine learning compute operation.
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公开(公告)号:US11164281B2
公开(公告)日:2021-11-02
申请号:US16880338
申请日:2020-05-21
Applicant: Intel Corporation
Inventor: Eriko Nurvitadhi , Balaji Vembu , Tsung-Han Lin , Kamal Sinha , Rajikshore Barik , Nicolas C. Galoppo Von Borries
IPC: G06F17/16 , G06T1/20 , G06F12/02 , G06F9/30 , G06F9/38 , G06F12/0811 , G06F12/0815 , G06F12/0831 , G06F12/0888 , H03M7/30 , G06K9/62 , G06N20/00 , G06F9/48 , G06N3/04 , G06N3/08 , G06T1/60 , G06T15/00
Abstract: An apparatus to facilitate processing of a sparse matrix is disclosed. The apparatus includes a plurality of processing units each comprising one or more processing elements, including logic to read operands, a multiplication unit to multiply two or more operands and a scheduler to identify operands having a zero value and prevent scheduling of the operands having the zero value at the multiplication unit.
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公开(公告)号:US20210334637A1
公开(公告)日:2021-10-28
申请号:US17317857
申请日:2021-05-11
Applicant: INTEL CORPORATION
Inventor: Kamal Sinha , Balaji Vembu , Eriko Nurvitadhi , Nicolas C. Galoppo Von Borries , Rajkishore Barik , Tsung-Han Lin , Joydeep Ray , Ping T. Tang , Michael S. Strickland , Xiaoming Chen , Anbang Yao , Tatiana Shpeisman , Abhishek R. Appu , Altug Koker , Farshad Akhbari , Narayan Srinivasa , Feng Chen , Dukhwan Kim , Nadathur Rajagopalan Satish , John C. Weast , Mike B. MacPherson , Linda L. Hurd , Vasanth Ranganathan , Sanjeev S. Jahagirdar
IPC: G06N3/063 , G06N3/08 , G06N3/04 , G06T1/20 , G06F9/30 , G06T15/00 , G06F15/78 , G06F15/76 , G06F1/3287 , G06F1/3293
Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.
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公开(公告)号:US11099800B2
公开(公告)日:2021-08-24
申请号:US16881262
申请日:2020-05-22
Applicant: Intel Corporation
Inventor: Eric J. Asperheim , Subramaniam M. Maiyuran , Kiran C. Veernapu , Sanjeev S. Jahagirdar , Balaji Vembu , Devan Burke , Philip R. Laws , Kamal Sinha , Abhishek R. Appu , Elmoustapha Ould-Ahmed-Vall , Peter L. Doyle , Joydeep Ray , Travis T. Schluessler , John H. Feit , Nikos Kaburlasos , Jacek Kwiatkowski , Altug Koker
IPC: G06F3/14 , G06F3/01 , G09G5/391 , G06F3/0484 , G09G5/00
Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.
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公开(公告)号:US20210255957A1
公开(公告)日:2021-08-19
申请号:US17161465
申请日:2021-01-28
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
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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