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公开(公告)号:US20200293367A1
公开(公告)日:2020-09-17
申请号:US16354957
申请日:2019-03-15
Applicant: Intel Corporation
Inventor: Valentin Andrei , Aravindh Anantaraman , Abhishek R. Appu , Nicolas C. Galoppo von Borries , Altug Koker , SungYe Kim , Elmoustapha Ould-Ahmed-Vall , Mike Macpherson , Subramaniam Maiyuran , Vasanth Ranganathan , Joydeep Ray
Abstract: One embodiment provides for a general-purpose graphics processing unit comprising a set of processing elements to execute one or more thread groups of a second kernel to be executed by the general-purpose graphics processor, an on-chip memory coupled to the set of processing elements, and a scheduler coupled with the set of processing elements, the scheduler to schedule the thread groups of the kernel to the set of processing elements, wherein the scheduler is to schedule a thread group of the second kernel to execute subsequent to a thread group of a first kernel, the thread group of the second kernel configured to access a region of the on-chip memory that contains data written by the thread group of the first kernel in response to a determination that the second kernel is dependent upon the first kernel.
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公开(公告)号:US12198222B2
公开(公告)日:2025-01-14
申请号:US18532245
申请日:2023-12-07
Applicant: Intel Corporation
Inventor: Abhishek Appu , Subramaniam Maiyuran , Mike Macpherson , Fangwen Fu , Jiasheng Chen , Varghese George , Vasanth Ranganathan , Ashutosh Garg , Joydeep Ray
IPC: G06F17/16 , G06F7/544 , G06F9/30 , G06F9/38 , G06F9/50 , G06F12/0806 , G06F15/80 , G06N3/048 , G06N3/08 , G06N3/084 , G06T1/20
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.
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公开(公告)号:US12141094B2
公开(公告)日:2024-11-12
申请号:US17428233
申请日:2020-03-14
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: G06F9/30 , G06F7/544 , G06F7/575 , G06F7/58 , 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 , G06F15/78 , G06F15/80 , G06F17/16 , G06F17/18 , G06T1/20 , G06T1/60 , H03M7/46 , G06N3/08 , G06T15/06
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.
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公开(公告)号:US12117962B2
公开(公告)日:2024-10-15
申请号:US18450685
申请日:2023-08-16
Applicant: Intel Corporation
Inventor: Joydeep Ray , Aravindh Anantaraman , Abhishek R. Appu , Altug Koker , Elmoustapha Ould-Ahmed-Vall , Valentin Andrei , Subramaniam Maiyuran , Nicolas Galoppo Von Borries , Varghese George , Mike Macpherson , Ben Ashbaugh , Murali Ramadoss , Vikranth Vemulapalli , William Sadler , Jonathan Pearce , Sungye Kim
CPC classification number: G06F15/8069 , G06F9/30163 , G06F9/3877 , G06T15/005 , G06F9/3836
Abstract: Methods and apparatus relating to scalar core integration in a graphics processor. In an example, an apparatus comprises a processor to receive a set of workload instructions for a graphics workload from a host complex, determine a first subset of operations in the set of operations that is suitable for execution by a scalar processor complex of the graphics processing device and a second subset of operations in the set of operations that is suitable for execution by a vector processor complex of the graphics processing device, assign the first subset of operations to the scalar processor complex for execution to generate a first set of outputs, assign the second subset of operations to the vector processor complex for execution to generate a second set of outputs. Other embodiments are also disclosed and claimed.
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公开(公告)号:US12099461B2
公开(公告)日:2024-09-24
申请号:US17431034
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Aravindh Anantaraman , Elmoustapha Ould-Ahmed-Vall , Valentin Andrei , Nicolas Galoppo Von Borries , Varghese George , Mike Macpherson , Subramaniam Maiyuran , Joydeep Ray , Lakshminarayanan Striramassarma , Scott Janus , Brent Insko , Vasanth Ranganathan , Kamal Sinha , Arthur Hunter , Prasoonkumar Surti , David Puffer , James Valerio , Ankur N. Shah
IPC: G06F16/00 , 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 , G06F15/78 , 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 multi-tile memory management. In an example, an apparatus comprises a cache memory, a high-bandwidth memory, a shader core communicatively coupled to the cache memory and comprising a processing element to decompress a first data element extracted from an in-memory database in the cache memory and having a first bit length to generate a second data element having a second bit length, greater than the first bit length, and an arithmetic logic unit (ALU) to compare the data element to a target value provided in a query of the in-memory database. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20240161227A1
公开(公告)日:2024-05-16
申请号:US18532245
申请日:2023-12-07
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 , G06F9/50 , G06F12/0806 , G06F15/80 , G06F17/16 , G06N3/048 , G06N3/08 , G06N3/084
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. 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.
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公开(公告)号:US11899614B2
公开(公告)日:2024-02-13
申请号:US17849201
申请日:2022-06-24
Applicant: Intel Corporation
Inventor: Joydeep Ray , Altug Koker , Varghese George , Mike Macpherson , Aravindh Anantaraman , Abhishek R. Appu , Elmoustapha Ould-Ahmed-Vall , Nicolas Galoppo von Borries , Ben J. Ashbaugh
IPC: 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 , G06F12/0888 , G06T15/06 , G06N3/08
CPC classification number: G06F15/7839 , G06F7/5443 , G06F7/575 , G06F7/588 , G06F9/3001 , G06F9/3004 , G06F9/30014 , G06F9/30036 , 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: Embodiments described herein provide techniques to facilitate instruction-based control of memory attributes. One embodiment provides a graphics processor comprising a processing resource, a memory device, a cache coupled with the processing resources and the memory, and circuitry to process a memory access message received from the processing resource. The memory access message enables access to data of the memory device. To process the memory access message, the circuitry is configured to determine one or more cache attributes that indicate whether the data should be read from or stored the cache. The cache attributes may be provided by the memory access message or stored in state data associated with the data to be accessed by the access message.
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公开(公告)号:US20230017304A1
公开(公告)日:2023-01-19
申请号:US17874876
申请日:2022-07-27
Applicant: Intel Corporation
Inventor: Rajkishore Barik , Brian T. Lewis , Murali Sundaresan , Jeffrey Jackson , Feng Chen , Xiaoming Chen , Mike Macpherson
Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.
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公开(公告)号:US20220129271A1
公开(公告)日:2022-04-28
申请号:US17430963
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Aravindh Anantaraman , Elmoustapha Ould-Ahmed-Vall , Valentin Andrei , Nicolas Galoppo Von Borries , Varghese George , Altug Koker , Mike Macpherson , Subramaniam Maiyuran , Joydeep Ray , Vasanth Ranganathan
IPC: G06F9/30 , G06F12/0871 , G06F12/0811 , G06F7/58 , G06T15/06
Abstract: Methods and apparatus relating to data initialization techniques. In an example, an apparatus comprises a processor to read one or more metadata codes which map to one or more cache lines in a cache memory and invoke a random number generator to generate random numerical data for the one or more cache lines in response to a determination that the one more metadata codes indicate that the cache lines are to contain random numerical data. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20220121421A1
公开(公告)日:2022-04-21
申请号:US17431034
申请日:2020-03-14
Applicant: Intel Corporation
Inventor: Abhishek R. Appu , Altug Koker , Aravindh Anantaraman , Elmoustapha Ould-Ahmed-Vall , Valentin Andrei , Nicolas Galoppo Von Borries , Varghese George , Mike Macpherson , Subramaniam Maiyuran , Joydeep Ray , Lakshminarayana Striramassarma , Scott Janus , Brent Insko , Vasanth Ranganathan , Kamal Sinha , Arthur Hunter , Prasoonkumar Surti , David Puffer , James Valerio , Ankur N. Shah
IPC: G06F7/575 , G06F7/544 , G06F9/30 , G06F9/38 , G06F12/128 , G06F12/0875 , G06F12/0866 , G06F12/0895 , G06F12/02
Abstract: Methods and apparatus relating to techniques for multi-tile memory management. In an example, an apparatus comprises a cache memory, a high-bandwidth memory, a shader core communicatively coupled to the cache memory and comprising a processing element to decompress a first data element extracted from an in-memory database in the cache memory and having a first bit length to generate a second data element having a second bit length, greater than the first bit length, and an arithmetic logic unit (ALU) to compare the data element to a target value provided in a query of the in-memory database. Other embodiments are also disclosed and claimed.
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