公开(公告)号：US11615584B2

公开(公告)日：2023-03-28

申请号：US17382888

申请日：2021-07-22

Applicant: Intel Corporation

Inventor： Vasanth Ranganathan ,  Saikat Mandal ,  Saurabh Sharma ,  Vamsee Vardhan Chivukula ,  Karol A. Szerszen ,  Aleksander Olek Neyman ,  Altug Koker ,  Prasoonkumar Surti ,  Abhishek Appu ,  Joydeep Ray ,  Art Hunter ,  Luis F. Cruz Camacho ,  Akshay R. Chada

IPC: G06T15/40 ,  G06T15/00

Abstract: Briefly, in accordance with one or more embodiments, a processor performs a coarse depth test on pixel data, and performs a final depth test on the pixel data. Coarse depth data is stored in a coarse depth cache, and per pixel depth data is stored in a per pixel depth cache. If a result of the coarse depth test is ambiguous, the processor is to read the per pixel depth data from the per pixel depth cache, and to update the coarse depth data with the per pixel depth data if the per pixel depth data has a smaller depth range than the coarse depth data.

公开(公告)号：US20220084252A1

公开(公告)日：2022-03-17

申请号：US17355271

申请日：2021-06-23

Applicant: Intel Corporation

Inventor： Abhishek Appu ,  Altug Koker ,  Joydeep Ray ,  Balaji Vembu ,  Prasoonkumar Surti ,  Kamal Sinha ,  Nadathur Rajagoplan Satish ,  Narayan Srinivasa ,  Feng Chen ,  Dukhwan Kim ,  Farshad Akhbari

IPC: G06T9/00 ,  G06N3/063 ,  G06N3/04 ,  G06N3/08 ,  G06T1/60 ,  G06F12/02 ,  G06T1/20

Abstract: An apparatus to facilitate compute compression is disclosed. The apparatus includes a graphics processing unit including mapping logic to map a first block of integer pixel data to a compression block and compression logic to compress the compression block.

公开(公告)号：US20210303481A1

公开(公告)日：2021-09-30

申请号：US17212503

申请日：2021-03-25

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Altug Koker ,  Elmoustapha Ould-Ahmed-Vall ,  Michael Macpherson ,  Aravindh V. Anantaraman ,  Vasanth Ranganathan ,  Lakshminarayanan Striramassarma ,  Varghese George ,  Abhishek Appu ,  Prasoonkumar Surti

IPC: G06F13/16 ,  G06F9/50 ,  G06F9/38 ,  G06F9/30 ,  G06T1/20 ,  G06T1/60

Abstract: An apparatus to facilitate efficient data sharing for graphics data processing operations is disclosed. The apparatus includes a processing resource to generate a stream of instructions, an L1 cache communicably coupled to the processing resource and comprising an on-page detector circuit to determine that a set of memory requests in the stream of instructions access a same memory page; and set a marker in a first request of the set of memory requests; and arbitration circuitry communicably coupled to the L1 cache, the arbitration circuitry to route the set of memory requests to memory comprising the memory page and to, in response to receiving the first request with the marker set, remain with the processing resource to process the set of memory requests.

公开(公告)号：US20210035258A1

公开(公告)日：2021-02-04

申请号：US17064427

申请日：2020-10-06

Applicant: Intel Corporation

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

IPC: G06T1/20 ,  G06F9/50 ,  G06F15/80 ,  G06F12/0806 ,  G06N3/04 ,  G06N3/08 ,  G06F17/16

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 skip computational operations for zero filled matrices and sub-matrices. Embodiments additionally provide techniques to maintain data compression through to a processing unit. Embodiments additionally provide an architecture for a sparse aware logic unit.

公开(公告)号：US10424107B2

公开(公告)日：2019-09-24

申请号：US15477049

申请日：2017-04-01

Applicant: Intel Corporation

Inventor： Vasanth Ranganathan ,  Saikat Mandal ,  Saurabh Sharma ,  Vamsee Vardhan Chivukula ,  Karol A. Szerszen ,  Aleksander Olek Neyman ,  Altug Koker ,  Prasoonkumar Surti ,  Abhishek Appu ,  Joydeep Ray ,  Art Hunter ,  Luis F. Cruz Camacho ,  Akshay R. Chada

IPC: G06T15/00 ,  G06T15/40

Abstract: Briefly, in accordance with one or more embodiments, a processor performs a coarse depth test on pixel data, and performs a final depth test on the pixel data. Coarse depth data is stored in a coarse depth cache, and per pixel depth data is stored in a per pixel depth cache. If a result of the coarse depth test is ambiguous, the processor is to read the per pixel depth data from the per pixel depth cache, and to update the coarse depth data with the per pixel depth data if the per pixel depth data has a smaller depth range than the coarse depth data.

公开(公告)号：US20190286563A1

公开(公告)日：2019-09-19

申请号：US15922809

申请日：2018-03-15

Applicant: Intel Corporation

Inventor： Bharath Narasimha Swamy ,  Joydeep Ray ,  Rama Kishan Malladi ,  James Valerio ,  Abhishek Appu

IPC: G06F12/0855

Abstract: Apparatus and method for improved cache utilization and efficiency on a many-core processor. An apparatus comprising: a plurality of execution units to generate cache access requests responsive to executing instructions; a pending request queue to store pending cache access requests generated by the execution units; pending queue management circuitry to compare a current cache access request with entries in the pending request queue to determine whether the current cache access request can be merged with an entry in the pending request queue and, if so, to merge the current cache access request with the entry.

公开(公告)号：US12293431B2

公开(公告)日：2025-05-06

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: G06T1/20 ,  G06F7/544 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F12/0806 ,  G06F15/80 ,  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.

公开(公告)号：US20250104180A1

公开(公告)日：2025-03-27

申请号：US18967172

申请日：2024-12-03

Applicant: Intel Corporation

Inventor： Abhishek Appu ,  Subramaniam Maiyuran ,  Mike Macpherson ,  Fangwen Fu ,  Jiasheng Chen ,  Varghese George ,  Vasanth Ranganathan ,  Ashutosh Garg ,  Joydeep Ray

IPC: G06T1/20 ,  G06F7/544 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F12/0806 ,  G06F15/80 ,  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. One embodiment provides for data aware sparsity via compressed bitstreams. One embodiment provides for block sparse dot product instructions. One embodiment provides for a depth-wise adapter for a systolic array.

公开(公告)号：US20250103548A1

公开(公告)日：2025-03-27

申请号：US18948174

申请日：2024-11-14

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 ,  G06N3/08 ,  G06T1/20 ,  G06T1/60 ,  G06T15/06 ,  H03M7/46

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：US20250103547A1

公开(公告)日：2025-03-27

申请号：US18906859

申请日：2024-10-04

Applicant: INTEL CORPORATION

Inventor： Prasoonkumar Surti ,  Subramaniam Maiyuran ,  Valentin Andrei ,  Abhishek Appu ,  Varghese George ,  Altug Koker ,  Mike Macpherson ,  Elmoustapha Ould-Ahmed-Vall ,  Vasanth Ranganathan ,  Joydeep Ray ,  Lakshminarayanan Striramassarma ,  SungYe Kim

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 ,  H03M7/46

Abstract: Embodiments described herein include software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. One embodiment provides techniques to optimize training and inference on a systolic array when using sparse data. One embodiment provides techniques to use decompression information when performing sparse compute operations. One embodiment enables the disaggregation of special function compute arrays via a shared reg file. One embodiment enables packed data compress and expand operations on a GPGPU. One embodiment provides techniques to exploit block sparsity within the cache hierarchy of a GPGPU.