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：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

IPC: G06F9/50 ,  G06F9/38 ,  G06F9/54 ,  G06F12/0837 ,  G06F9/48 ,  G06F9/345

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.

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.

公开(公告)号：US20200104126A1

公开(公告)日：2020-04-02

申请号：US16147696

申请日：2018-09-29

Applicant: Intel Corporation

Inventor： Jonathan Pearce ,  David Sheffield ,  Srikanth Srinivasan ,  Jeffrey Cook ,  Deborah Marr ,  Abhijit Davare ,  Asit Mishra ,  Steven Burns ,  Desmond Kirkpatrick ,  Andrey Ayupov ,  Anton Alexandrovich Sorokin ,  Eriko Nurvitadhi

IPC: G06F9/30 ,  G06F9/38 ,  G06F17/16 ,  G06F12/0831 ,  G06F12/084 ,  G06F7/57

Abstract: An apparatus and method for performing efficient, adaptable tensor operations. For example, one embodiment of a processor comprises: front end circuitry to schedule a plurality of matrix operations responsive to a tensor matrix multiplication instruction; a plurality of lanes to perform parallel execution of the matrix operations, each lane comprising: first, second, and third tile registers to store blocks of a first matrix (A), second matrix (B), and third matrix (C), respectively; at least one tensor arithmetic logic unit (TALU) to multiply a block of elements of the first matrix with a block of elements of the second matrix to generate a product and to accumulate the product with a block of elements of the third matrix, wherein each lane is to multiply one or more different blocks of the first and second matrix and to accumulate the resulting one or more products with one or more different blocks of the third matrix; and broadcast circuitry to broadcast one or more invariant matrix blocks to different tile registers within a lane and/or different tile registers across different lanes.

公开(公告)号：US12210477B2

公开(公告)日：2025-01-28

申请号：US17428530

申请日：2020-03-14

Applicant: Intel Corporation

Inventor： Altug Koker ,  Joydeep Ray ,  Ben Ashbaugh ,  Jonathan Pearce ,  Abhishek Appu ,  Vasanth Ranganathan ,  Lakshminarayanan Striramassarma ,  Elmoustapha Ould-Ahmed-Vall ,  Aravindh Anantaraman ,  Valentin Andrei ,  Nicolas Galoppo Von Borries ,  Varghese George ,  Yoav Harel ,  Arthur Hunter, Jr. ,  Brent Insko ,  Scott Janus ,  Pattabhiraman K ,  Mike Macpherson ,  Subramaniam Maiyuran ,  Marian Alin Petre ,  Murali Ramadoss ,  Shailesh Shah ,  Kamal Sinha ,  Prasoonkumar Surti ,  Vikranth Vemulapalli

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

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 coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.

公开(公告)号：US11709714B2

公开(公告)日：2023-07-25

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

IPC: G06F9/50 ,  G06F9/38 ,  G06F9/54 ,  G06F12/0837 ,  G06F9/48 ,  G06F9/345 ,  G06T1/60 ,  G06F9/30 ,  G06T15/00 ,  G06F16/245 ,  G06T1/20

CPC classification number: G06F9/5027 ,  G06F9/3455 ,  G06F9/3851 ,  G06F9/3877 ,  G06F9/3885 ,  G06F9/4881 ,  G06F9/5033 ,  G06F9/5066 ,  G06F9/545 ,  G06F12/0837 ,  G06F9/30178 ,  G06F9/3887 ,  G06F16/24569 ,  G06T1/20 ,  G06T1/60 ,  G06T15/005

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.

公开(公告)号：US11093250B2

公开(公告)日：2021-08-17

申请号：US16147694

申请日：2018-09-29

Applicant: Intel Corporation

Inventor： Jonathan Pearce ,  David Sheffield ,  Srikanth Srinivasan ,  Jaewoong Sim ,  Andrey Ayupov

IPC: G06F9/38 ,  G06F9/30 ,  G06F9/48 ,  G06F9/50

Abstract: An apparatus and method for efficiently processing invariant operations on a parallel execution engine. For example, one embodiment of a processor comprises: a plurality of parallel execution lanes comprising execution circuitry and registers to concurrently execute a plurality of threads; front end circuitry coupled to the plurality of parallel execution lanes, the front end circuitry to arrange the threads into parallel execution groups and schedule operations of the threads to be executed across the parallel execution lanes, wherein the front end circuitry is to dynamically evaluate one or more variables associated with the operations to determine if one or more conditionally invariant operations will be invariant across threads of a parallel execution group and/or across the parallel execution lanes; a scheduler of the front end circuitry to responsively schedule a shared thread upon a determination that a conditionally invariant operation will be invariant across threads of a parallel execution group and/or across the parallel execution lanes.

公开(公告)号：US10776110B2

公开(公告)日：2020-09-15

申请号：US16147696

申请日：2018-09-29

Applicant: Intel Corporation

Inventor： Jonathan Pearce ,  David Sheffield ,  Srikanth Srinivasan ,  Jeffrey Cook ,  Deborah Marr ,  Abhijit Davare ,  Asit Mishra ,  Steven Burns ,  Desmond Kirkpatrick ,  Andrey Ayupov ,  Anton Alexandrovich Sorokin ,  Eriko Nurvitadhi

IPC: G06F9/30 ,  G06F9/38 ,  G06F17/16 ,  G06F7/57 ,  G06F12/0831 ,  G06F12/084

Abstract: An apparatus and method for performing efficient, adaptable tensor operations. For example, one embodiment of a processor comprises: front end circuitry to schedule a plurality of matrix operations responsive to a tensor matrix multiplication instruction; a plurality of lanes to perform parallel execution of the matrix operations, each lane comprising: first, second, and third tile registers to store blocks of a first matrix (A), second matrix (B), and third matrix (C), respectively; at least one tensor arithmetic logic unit (TALU) to multiply a block of elements of the first matrix with a block of elements of the second matrix to generate a product and to accumulate the product with a block of elements of the third matrix, wherein each lane is to multiply one or more different blocks of the first and second matrix and to accumulate the resulting one or more products with one or more different blocks of the third matrix; and broadcast circuitry to broadcast one or more invariant matrix blocks to different tile registers within a lane and/or different tile registers across different lanes.

公开(公告)号：US20200104139A1

公开(公告)日：2020-04-02

申请号：US16147692

申请日：2018-09-29

Applicant: Intel Corporation

Inventor： Jonathan Pearce ,  David Sheffield ,  Srikanth Srinivasan ,  Jeffrey Cook ,  Deborah Marr ,  Abhijit Davare ,  Andrey Ayupov

IPC: G06F9/38 ,  G06F9/30

Abstract: An apparatus and method for data parallel single program multiple data (SPMD) execution. For example, one embodiment of a processor comprises: instruction fetch circuitry to fetch instructions of one or more primary threads; a decoder to decode the instructions to generate uops; a data parallel cluster (DPC) to execute microthreads comprising a subset of the uops, the DPC further comprising: a plurality of execution lanes to perform parallel execution of the microthreads; an instruction decode queue (IDQ) to store the uops prior to execution; and a scheduler to evaluate the microthreads based on associated variables including instruction pointer (IP) values, the scheduler to gang microthreads into fragments for parallel execution on the execution lanes based on the evaluation.

公开(公告)号：US11620256B2

公开(公告)日：2023-04-04

申请号：US17732308

申请日：2022-04-28

Applicant: Intel Corporation

Inventor： Altug Koker ,  Joydeep Ray ,  Ben Ashbaugh ,  Jonathan Pearce ,  Abhishek Appu ,  Vasanth Ranganathan ,  Lakshminarayanan Striramassarma ,  Elmoustapha Ould-Ahmed-Vall ,  Aravindh Anantaraman ,  Valentin Andrei ,  Nicolas Galoppo Von Borries ,  Varghese George ,  Yoav Harel ,  Arthur Hunter, Jr. ,  Brent Insko ,  Scott Janus ,  Pattabhiraman K ,  Mike Macpherson ,  Subramaniam Maiyuran ,  Marian Alin Petre ,  Murali Ramadoss ,  Shailesh Shah ,  Kamal Sinha ,  Prasoonkumar Surti ,  Vikranth Vemulapalli

IPC: G06F12/08 ,  G06F15/78 ,  G06F9/30 ,  G06F9/38 ,  G06F17/18 ,  G06F12/0802 ,  G06F7/544 ,  G06F7/575 ,  G06F12/02 ,  G06F12/0866 ,  G06F12/0875 ,  G06F12/0895 ,  G06F12/128 ,  G06F12/06 ,  G06F12/1009 ,  G06T1/20 ,  G06T1/60 ,  H03M7/46 ,  G06F12/0811 ,  G06F15/80 ,  G06F17/16 ,  G06F7/58 ,  G06F12/0871 ,  G06F12/0862 ,  G06F12/0897 ,  G06F9/50 ,  G06F12/0804 ,  G06F12/0882 ,  G06F12/0891 ,  G06F12/0893 ,  G06T15/06 ,  G06N3/08

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 coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.