MACHINE LEARNING ARCHITECTURE SUPPORT FOR BLOCK SPARSITY

    公开(公告)号:EP3716102A1

    公开(公告)日:2020-09-30

    申请号:EP20159725.9

    申请日:2020-02-27

    申请人: Intel Corporation

    发明人: AZIZI, Omid

    IPC分类号: G06F17/16

    摘要: This disclosure relates matrix operation acceleration for different matrix sparsity patterns. A matrix operation accelerator may be designed to perform matrix operations more efficiently for a first matrix sparsity pattern rather than for a second matrix sparsity pattern. A matrix with the second sparsity pattern may be converted to a matrix with the first sparsity pattern and provided to the matrix operation accelerator. By rearranging the rows and/or columns of the matrix, the sparsity pattern of the matrix may be converted to a sparsity pattern that is suitable for computation with the matrix operation accelerator.