公开(公告)号：US11463102B2

公开(公告)日：2022-10-04

申请号：US17162153

申请日：2021-01-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Chao Lu ,  Baoqing Liu ,  Leijun He

IPC: H03M7/00 ,  H03M7/30

Abstract: In the data compression method, a raw data block in raw data is processed based on a compression algorithm to obtain a standard compressed data block that has a length of L2 and that corresponds to the raw data block, and the raw data is further compressed into one or more standard compressed data blocks that each have the length of L2 and that are to be decompressed in parallel by a decompression apparatus, where the decompression apparatus includes a plurality of decompression engines, and each decompression engine is capable of decompressing one standard compressed data block within one processing cycle. According to the data compression method, a standard compressed data block with a fixed length can be obtained through compression.

公开(公告)号：US11263292B2

公开(公告)日：2022-03-01

申请号：US17324533

申请日：2021-05-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Leijun He ,  Bin Xu ,  Kaixing Wang

IPC: G06F17/16

Abstract: A method for performing a matrix multiplication operation is provided. The method includes: obtaining a matrix B1, a matrix A2, and an index matrix, wherein the index matrix comprises indexes, in a matrix A1, of elements in the matrix A2; generating m matrices B2 based on the index matrix and the matrix B1, wherein the m matrices B2 are all matrices with t rows and n columns, and each row of each matrix B2 is a row indicated in the matrix B1 by a corresponding element in the index matrix; and generating a matrix C based on the matrix A2 and the m matrices B2, wherein the matrix C is a product of the matrix A1 and the matrix B1.

公开(公告)号：US11860970B2

公开(公告)日：2024-01-02

申请号：US17841162

申请日：2022-06-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Leijun He ,  Bin Xu ,  Kaixing Wang

IPC: G06F17/16 ,  G06F7/06

CPC classification number: G06F7/06

Abstract: A method for performing a matrix multiplication operation is provided. The method includes: obtaining a matrix B1, a matrix A2, and an index matrix, wherein the index matrix comprises indexes, in a matrix A1, of elements in the matrix A2; generating m matrices B2 based on the index matrix and the matrix B1, wherein the m matrices B2 are all matrices with t rows and n columns, and each row of each matrix B2 is a row indicated in the matrix B1 by a corresponding element in the index matrix; and generating a matrix C based on the matrix A2 and the m matrices B2, wherein the matrix C is a product of the matrix A1 and the matrix B1.