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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:US11892950B2
公开(公告)日:2024-02-06
申请号:US17865666
申请日:2022-07-15
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: G06F12/084 , 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 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.
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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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公开(公告)号:US20220058053A1
公开(公告)日:2022-02-24
申请号:US17472975
申请日:2021-09-13
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 , Varghese George
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:US20210326176A1
公开(公告)日:2021-10-21
申请号:US17317387
申请日:2021-05-11
Applicant: Intel Corporation
Inventor: Subramaniam Maiyuran , Varghese George , Altug Koker , Aravindh Anantaraman , SungYe Kim , Valentin Andrei , Joydeep Ray
IPC: G06F9/48 , G06F9/38 , G06F12/0837 , G06F9/30 , G06F9/50
Abstract: Accelerated synchronization operations using fine grain dependency check are disclosed. A graphics multiprocessor includes a plurality of execution units and synchronization circuitry that is configured to determine availability of at least one execution unit. The synchronization circuitry to perform a fine grain dependency check of availability of dependent data or operands in shared local memory or cache when at least one execution unit is available.
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公开(公告)号:US20200294179A1
公开(公告)日:2020-09-17
申请号:US16355274
申请日:2019-03-15
Applicant: Intel Corporation
Inventor: Joydeep Ray , Aravindh Anantaraman , Valentin Andrei , Abhishek R. Appu , Nicolas Galoppo von Borries , Varghese George , Altug Koker , Elmoustapha Ould-Ahmed-Vall , Mike Macpherson , Subramaniam Maiyuran
Abstract: Embodiments are generally directed to memory prefetching in multiple GPU environment. An embodiment of an apparatus includes multiple processors including a host processor and multiple graphics processing units (GPUs) to process data, each of the GPUs including a prefetcher and a cache; and a memory for storage of data, the memory including a plurality of memory elements, wherein the prefetcher of each of the GPUs is to prefetch data from the memory to the cache of the GPU; and wherein the prefetcher of a GPU is prohibited from prefetching from a page that is not owned by the GPU or by the host processor.
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公开(公告)号:US20200293369A1
公开(公告)日:2020-09-17
申请号:US16355565
申请日:2019-03-15
Applicant: Intel Corporation
Inventor: Subramaniam Maiyuran , Varghese George , Altug Koker , Aravindh Anantaraman , SungYe Kim , Valentin Andrei , Joydeep Ray
IPC: G06F9/48 , G06F9/38 , G06F9/50 , G06F9/30 , G06F12/0837
Abstract: Accelerated synchronization operations using fine grain dependency check are disclosed. A graphics multiprocessor includes a plurality of execution units and synchronization circuitry that is configured to determine availability of at least one execution unit. The synchronization circuitry to perform a fine grain dependency check of availability of dependent data or operands in shared local memory or cache when at least one execution unit is available.
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