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.

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：US20240320000A1

公开(公告)日：2024-09-26

申请号：US18621539

申请日：2024-03-29

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：US20220413803A1

公开(公告)日：2022-12-29

申请号：US17304803

申请日：2021-06-25

Applicant: Intel Corporation

Inventor： Jorge Parra ,  Fangwen Fu ,  Subramaniam Maiyuran ,  Varghese George ,  Mike Macpherson ,  Supratim Pal ,  Chandra Gurram ,  Sabareesh Ganapathy ,  Sasikanth Avancha ,  Dharma Teja Vooturi ,  Naveen Mellempudi ,  Dipankar Das

IPC: G06F7/544 ,  G06F7/523 ,  G06F15/80 ,  G06F17/16

Abstract: A processing apparatus is described herein that includes a general-purpose parallel processing engine comprising a matrix accelerator including one or more systolic arrays, at least one of the one or more systolic arrays comprising multiple pipeline stages, each pipeline stage of the multiple pipeline stages including multiple processing elements, the multiple processing elements configured to perform processing operations on input matrix elements based on output sparsity metadata. The output sparsity metadata indicates to the multiple processing elements to bypass multiplication for a first row of elements of a second matrix and multiply a second row of elements of the second matrix with a column of matrix elements of a first matrix.