公开(公告)号：US10546393B2

公开(公告)日：2020-01-28

申请号：US15859408

申请日：2017-12-30

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

IPC: G06T9/00 ,  G06T15/00

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.

公开(公告)号：US20240070926A1

公开(公告)日：2024-02-29

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

IPC: G06T9/00 ,  G06F12/02 ,  G06T15/00

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.

公开(公告)号：US20230230289A1

公开(公告)日：2023-07-20

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

IPC: G06T9/00 ,  G06F12/02 ,  G06T15/00

CPC classification number: G06T9/002 ,  G06F12/023 ,  G06T15/005 ,  G06F2212/401 ,  G06F2212/302

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.

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

IPC: G06F12/02 ,  G06T9/00 ,  G06T15/00

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.

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

IPC: G06T9/00 ,  G06F12/02 ,  G06T15/00

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.

公开(公告)号：US11157283B2

公开(公告)日：2021-10-26

申请号：US16243663

申请日：2019-01-09

Applicant: Intel Corporation

Inventor： James Valerio ,  Vasanth Ranganathan ,  Joydeep Ray ,  Pradeep Ramani

IPC: G06F9/38 ,  G06T1/20 ,  G06F13/28

Abstract: A graphics processing device comprises a set of compute units to execute multiple threads of a workload, a cache coupled with the set of compute units, and a prefetcher to prefetch instructions associated with the workload. The prefetcher is configured to use a thread dispatch command that is used to dispatch threads to execute a kernel to prefetch instructions, parameters, and/or constants that will be used during execution of the kernel. Prefetch operations for the kernel can then occur concurrently with thread dispatch operations.

公开(公告)号：US10665006B2

公开(公告)日：2020-05-26

申请号：US16023647

申请日：2018-06-29

Applicant: Intel Corporation

Inventor： Pradeep Ramani ,  Karthik Vaidyanathan ,  Prasoonkumar Surti

IPC: G06T15/00 ,  G06F9/38 ,  G06F9/48 ,  G06T1/20

Abstract: A mechanism is described for facilitating efficient prediction of most commonly occurring values in data blocks in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to perform parallel calculations on values associated with multiple sub-blocks of a data block, and predict, based on the parallel calculations, a most commonly-occurring value in the data block. The apparatus if further to classify the most commonly-occurring value as a mode value for one or more data types to be used with one or more applications.

公开(公告)号：US12124852B2

公开(公告)日：2024-10-22

申请号：US18347964

申请日：2023-07-06

Applicant: Intel Corporation

Inventor： James Valerio ,  Vasanth Ranganathan ,  Joydeep Ray ,  Pradeep Ramani

IPC: G06F9/44 ,  G06F9/38 ,  G06F13/28 ,  G06T1/20

CPC classification number: G06F9/3802 ,  G06F13/28 ,  G06T1/20

Abstract: A graphics processing device is provided that includes a set of compute units to execute a workload, a cache coupled with the set of compute units, and circuitry coupled with the cache and the set of compute units. The circuitry is configured to, in response to a cache miss for the read from a first cache, broadcast an event within the graphics processor device to identify data associated with the cache miss, receive the event at a second compute unit in the set of compute units, and prefetch the data identified by the event into a second cache that is local to the second compute unit before an attempt to read the instruction or data by the second thread.

公开(公告)号：US11762662B2

公开(公告)日：2023-09-19

申请号：US17509726

申请日：2021-10-25

Applicant: Intel Corporation

Inventor： James Valerio ,  Vasanth Ranganathan ,  Joydeep Ray ,  Pradeep Ramani

IPC: G06F9/22 ,  G06F9/38 ,  G06T1/20 ,  G06F13/28

CPC classification number: G06F9/3802 ,  G06F13/28 ,  G06T1/20

Abstract: A graphics processing device comprises a set of compute units to execute multiple threads of a workload, a cache coupled with the set of compute units, and a prefetcher to prefetch instructions associated with the workload. The prefetcher is configured to use a thread dispatch command that is used to dispatch threads to execute a kernel to prefetch instructions, parameters, and/or constants that will be used during execution of the kernel. Prefetch operations for the kernel can then occur concurrently with thread dispatch operations.

公开(公告)号：US11557064B2

公开(公告)日：2023-01-17

申请号：US16750819

申请日：2020-01-23

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

IPC: G06T15/00 ,  G06T9/00 ,  G06F12/02

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.