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

IPC: G06T1/20 ,  G06F8/41 ,  G06F9/455 ,  G06F9/50 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084

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.

公开(公告)号：US12190406B2

公开(公告)日：2025-01-07

申请号：US17359528

申请日：2021-06-26

Applicant: Intel Corporation

Inventor： Raghavendra Kamath Miyar ,  Rajalakshmi Athimoolam ,  Subramaniam Maiyuran ,  Jorge F. Garcia Pabon ,  Rajarshi Bajpayee ,  Krishan Malik

IPC: G06T1/60 ,  G06T1/20

Abstract: Examples described herein relate to an apparatus comprising: at least one memory and at least one processor. In some example, the at least one processor is to: represent at least one vertex in a set of vertices of a first polygon using a first index; store the first index into the at least one memory; and indicate whether the first index is to be de-referenced based on a comparison between the first index and at least one other index, wherein: a first memory pointer is associated with the at least one vertex in the set of vertices of the first polygon and the first index comprises a number of bits that is less than a number of bits associated with the first memory pointer. In some examples, the number of bits of the first index is based on a size of a vertex window and wherein the vertex window comprises multiple vertices associated with one or more draw calls. In some examples, the number of bits of the first index is N and 2N is a size of a vertex window and wherein the vertex window comprises 2N vertices associated with one or more draw calls.

公开(公告)号：US12164430B2

公开(公告)日：2024-12-10

申请号：US18470553

申请日：2023-09-20

Applicant: Intel Corporation

Inventor： Vasileios Porpodas ,  Guei-Yuan Lueh ,  Subramaniam Maiyuran ,  Wei-Yu Chen

IPC: G06F12/0862 ,  G06F8/41 ,  G06F9/30 ,  G06F12/0875

Abstract: An apparatus to facilitate data prefetching is disclosed. The apparatus includes a cache, one or more execution units (EUs) to execute program code, prefetch logic to maintain tracking information of memory instructions in the program code that trigger a cache miss and compiler logic to receive the tracking information, insert one or more pre-fetch instructions in updated program code to prefetch data from a memory for execution of one or more of the memory instructions that triggered a cache miss and download the updated program code for execution by the one or more EUs.

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.

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.

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.

公开(公告)号：US12067394B2

公开(公告)日：2024-08-20

申请号：US18170696

申请日：2023-02-17

Applicant: Intel Corporation

Inventor： Shuai Mu ,  Cristina S. Anderson ,  Subramaniam Maiyuran

IPC: G06F9/30 ,  G06F7/544 ,  G06T1/20

CPC classification number: G06F9/3001 ,  G06F7/5443 ,  G06T1/20

Abstract: Embodiments are directed to systems and methods for reuse of FMA execution unit hardware logic to provide native support for execution of get exponent, get mantissa, and/or scale instructions within a GPU. These new instructions may be used to implement branch-free emulation algorithms for mathematical functions and analytic functions (e.g., transcendental functions) by detecting and handling various special case inputs within a pre-processing stage of the FMA execution unit, which allows the main dataflow of the FMA execution unit to be bypassed for such special cases. Since special cases are handled by the FMA execution unit, library functions emulating various functions, including, but not limited to logarithm, exponential, and division operations may be implemented with significantly fewer lines of machine-level code, thereby providing improved performance for HPC applications.

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.

公开(公告)号：US20240086138A1

公开(公告)日：2024-03-14

申请号：US18474361

申请日：2023-09-26

Applicant: Intel Corporation

Inventor： Eric J. Asperheim ,  Subramaniam 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 ,  G06F3/0484 ,  G09G5/391

CPC classification number: G06F3/1438 ,  G06F3/013 ,  G06F3/0484 ,  G09G5/391 ,  G09G5/001 ,  G09G2340/0435 ,  G09G2352/00 ,  G09G2354/00 ,  G09G2360/08 ,  G09G2360/121

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.

公开(公告)号：US20230351543A1

公开(公告)日：2023-11-02

申请号：US18310688

申请日：2023-05-02

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Scott Janus ,  Varghese George ,  Subramaniam Maiyuran ,  Altug Koker ,  Abhishek Appu ,  Prasoonkumar Surti ,  Vasanth Ranganathan ,  Valentin Andrei ,  Ashutosh Garg ,  Yoav Harel ,  Arthur Hunter, JR. ,  SungYe Kim ,  Mike Macpherson ,  Elmoustapha Ould-Ahmed-Vall ,  William Sadler ,  Lakshminarayanan Striramassarma ,  Vikranth Vemulapalli

IPC: G06N3/084 ,  G06F15/80 ,  G06F17/16 ,  G06N3/048 ,  G06T1/20 ,  G06F9/50 ,  G06F12/0806 ,  G06F7/544 ,  G06N3/08

CPC classification number: G06T1/20 ,  G06F7/5443 ,  G06F9/5027 ,  G06F12/0806 ,  G06F15/8046 ,  G06F17/16 ,  G06N3/048 ,  G06N3/08 ,  G06N3/084

Abstract: Embodiments described herein include, software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. Embodiment described herein provided techniques to detect zero value elements within a vector or a set of packed data elements output by a processing resource and generate metadata to indicate a location of the zero value elements within the plurality of data elements.