公开(公告)号：US20230289399A1

公开(公告)日：2023-09-14

申请号：US18163418

申请日：2023-02-02

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Fangwen Fu ,  Dhiraj D. Kalamkar ,  Sasikanth Avancha

IPC: G06F17/16 ,  G06F7/78 ,  G06N3/084 ,  G06N3/044

CPC classification number: G06F17/16 ,  G06F7/78 ,  G06N3/084 ,  G06N3/044

Abstract: An apparatus to facilitate machine learning matrix processing is disclosed. The apparatus comprises a memory to store matrix data one or more processors to execute an instruction to examine a message descriptor included in the instruction to determine a type of matrix layout manipulation operation that is to be executed, examine a message header included in the instruction having a plurality of parameters that define a two-dimensional (2D) memory surface that is to be retrieved, retrieve one or more blocks of the matrix data from the memory based on the plurality of parameters and a register file including a plurality of registers, wherein the one or more blocks of the matrix data is stored within a first set of the plurality of registers.

公开(公告)号：US11669329B2

公开(公告)日：2023-06-06

申请号：US17723312

申请日：2022-04-18

Applicant: Intel Corporation

Inventor： Supratim Pal ,  Sasikanth Avancha ,  Ishwar Bhati ,  Wei-Yu Chen ,  Dipankar Das ,  Ashutosh Garg ,  Chandra S. Gurram ,  Junjie Gu ,  Guei-Yuan Lueh ,  Subramaniam Maiyuran ,  Jorge E. Parra ,  Sudarshan Srinivasan ,  Varghese George

IPC: G06F9/38 ,  G06F9/30

CPC classification number: G06F9/3802 ,  G06F9/3001 ,  G06F9/30018 ,  G06F9/30145

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

公开(公告)号：US11977885B2

公开(公告)日：2024-05-07

申请号：US17107823

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Subramaniam Maiyuran ,  Jorge Parra ,  Ashutosh Garg ,  Chandra Gurram ,  Chunhui Mei ,  Durgesh Borkar ,  Shubra Marwaha ,  Supratim Pal ,  Varghese George ,  Wei Xiong ,  Yan Li ,  Yongsheng Liu ,  Dipankar Das ,  Sasikanth Avancha ,  Dharma Teja Vooturi ,  Naveen K. Mellempudi

IPC: G06F9/30 ,  G06F9/38 ,  G06F15/80

CPC classification number: G06F9/30036 ,  G06F9/3001 ,  G06F9/30101 ,  G06F9/3893 ,  G06F15/8046

Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.

公开(公告)号：US20220326953A1

公开(公告)日：2022-10-13

申请号：US17723312

申请日：2022-04-18

Applicant: Intel Corporation

Inventor： Supratim Pal ,  Sasikanth Avancha ,  Ishwar Bhati ,  Wei-Yu Chen ,  Dipankar Das ,  Ashutosh Garg ,  Chandra S. Gurram ,  Junjie Gu ,  Guei-Yuan Lueh ,  Subramaniam Maiyuran ,  Jorge E. Parra ,  Sudarshan Srinivasan ,  Varghese George

IPC: G06F9/38 ,  G06F9/30

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

公开(公告)号：US20210191724A1

公开(公告)日：2021-06-24

申请号：US16724831

申请日：2019-12-23

Applicant: Intel Corporation

Inventor： Supratim Pal ,  Sasikanth Avancha ,  Ishwar Bhati ,  Wei-Yu Chen ,  Dipankar Das ,  Ashutosh Garg ,  Chandra S. Gurram ,  Junjie Gu ,  Guei-Yuan Lueh ,  Subramaniam Maiyuran ,  Jorge E. Parra ,  Sudarshan Srinivasan ,  Varghese George

IPC: G06F9/38 ,  G06F9/30

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

公开(公告)号：US20240427842A1

公开(公告)日：2024-12-26

申请号：US18674212

申请日：2024-05-24

Applicant: Intel Corporation

Inventor： Joydeep Ray ,  Fangwen Fu ,  Dhiraj D. Kalamkar ,  Sasikanth Avancha

IPC: G06F17/16 ,  G06F7/78 ,  G06F9/30 ,  G06N3/044 ,  G06N3/084

Abstract: An apparatus to facilitate machine learning matrix processing is disclosed. The apparatus comprises a memory to store matrix data one or more processors to execute an instruction to examine a message descriptor included in the instruction to determine a type of matrix layout manipulation operation that is to be executed, examine a message header included in the instruction having a plurality of parameters that define a two-dimensional (2D) memory surface that is to be retrieved, retrieve one or more blocks of the matrix data from the memory based on the plurality of parameters and a register file including a plurality of registers, wherein the one or more blocks of the matrix data is stored within a first set of the plurality of registers.

公开(公告)号：US11681529B2

公开(公告)日：2023-06-20

申请号：US17410934

申请日：2021-08-24

Applicant: Intel Corporation

Inventor： Swagath Venkataramani ,  Dipankar Das ,  Sasikanth Avancha ,  Ashish Ranjan ,  Subarno Banerjee ,  Bharat Kaul ,  Anand Raghunathan

IPC: G06F12/14 ,  G06F9/30 ,  G06N3/04 ,  G06N3/084 ,  G06N3/063 ,  G06F9/52 ,  G06F9/38

CPC classification number: G06F9/30145 ,  G06F9/3004 ,  G06F9/30043 ,  G06F9/30087 ,  G06F9/3834 ,  G06F9/52 ,  G06N3/04 ,  G06N3/063 ,  G06N3/084

Abstract: Systems, methods, and apparatuses relating to access synchronization in a shared memory are described. In one embodiment, a processor includes a decoder to decode an instruction into a decoded instruction, and an execution unit to execute the decoded instruction to: receive a first input operand of a memory address to be tracked and a second input operand of an allowed sequence of memory accesses to the memory address, and cause a block of a memory access that violates the allowed sequence of memory accesses to the memory address. In one embodiment, a circuit separate from the execution unit compares a memory address for a memory access request to one or more memory addresses in a tracking table, and blocks a memory access for the memory access request when a type of access violates a corresponding allowed sequence of memory accesses to the memory address for the memory access request.

公开(公告)号：US11314515B2

公开(公告)日：2022-04-26

申请号：US16724831

申请日：2019-12-23

Applicant: Intel Corporation

Inventor： Supratim Pal ,  Sasikanth Avancha ,  Ishwar Bhati ,  Wei-Yu Chen ,  Dipankar Das ,  Ashutosh Garg ,  Chandra S. Gurram ,  Junjie Gu ,  Guei-Yuan Lueh ,  Subramaniam Maiyuran ,  Jorge E. Parra ,  Sudarshan Srinivasan ,  Varghese George

IPC: G06F9/38 ,  G06F9/30

Abstract: Embodiments described herein provide for an instruction and associated logic to enable a vector multiply add instructions with automatic zero skipping for sparse input. One embodiment provides for a general-purpose graphics processor comprising logic to perform operations comprising fetching a hardware macro instruction having a predicate mask, a repeat count, and a set of initial operands, where the initial operands include a destination operand and multiple source operands. The hardware macro instruction is configured to perform one or more multiply/add operations on input data associated with a set of matrices.

公开(公告)号：US11106464B2

公开(公告)日：2021-08-31

申请号：US16317501

申请日：2016-09-27

Applicant: Intel Corporation

Inventor： Swagath Venkataramani ,  Dipankar Das ,  Sasikanth Avancha ,  Ashish Ranjan ,  Subarno Banerjee ,  Bharat Kaul ,  Anand Raghunathan

IPC: G06F9/30 ,  G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  G06F9/52 ,  G06F9/38

Abstract: Systems, methods, and apparatuses relating to access synchronization in a shared memory are described. In one embodiment, a processor includes a decoder to decode an instruction into a decoded instruction, and an execution unit to execute the decoded instruction to: receive a first input operand of a memory address to be tracked and a second input operand of an allowed sequence of memory accesses to the memory address, and cause a block of a memory access that violates the allowed sequence of memory accesses to the memory address. In one embodiment, a circuit separate from the execution unit compares a memory address for a memory access request to one or more memory addresses in a tracking table, and blocks a memory access for the memory access request when a type of access violates a corresponding allowed sequence of memory accesses to the memory address for the memory access request.

公开(公告)号：US20210081201A1

公开(公告)日：2021-03-18

申请号：US17107823

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Subramaniam Maiyuran ,  Jorge Parra ,  Ashutosh Garg ,  Chandra Gurram ,  Chunhui Mei ,  Durgesh Borkar ,  Shubra Marwaha ,  Supratim Pal ,  Varghese George ,  Wei Xiong ,  Yan Li ,  Yongsheng Liu ,  Dipankar Das ,  Sasikanth Avancha ,  Dharma Teja Vooturi ,  Naveen K. Mellempudi

IPC: G06F9/30 ,  G06F9/38 ,  G06F15/80

Abstract: An apparatus to facilitate utilizing structured sparsity in systolic arrays is disclosed. The apparatus includes a processor comprising a systolic array to receive data from a plurality of source registers, the data comprising unpacked source data, structured source data that is packed based on sparsity, and metadata corresponding to the structured source data; identify portions of the unpacked source data to multiply with the structured source data, the portions of the unpacked source data identified based on the metadata; and output, to a destination register, a result of multiplication of the portions of the unpacked source data and the structured source data.