The invention discloses a sparse matrix vector multiplication vectorization implementation method, which comprises the following steps of: 1, respectively constructing a first matrix and a second matrix in a DDR (Double Data Rate), reading non-zero element data values in a sparse matrix to be calculated according to rows and storing the non-zero element data values in the first matrix according tocolumns, and storing corresponding column index values in the second matrix according to columns; 2, configuring a data buffer area in AM; 3, respectively transmitting the dense vector to be calculated and the data in the second matrix from the DDR to the GSM; 4, sequentially transmitting the data in the first matrix from the DDR to a data buffer area; 5, reading a column index value in the second matrix, reading a data value of the to-be-calculated dense vector according to the read column index value, and transmitting the data value to a data buffer area; and step 6, performing vectorization calculation on the data in the data buffer area. The method has the advantages of simple implementation operation, high resource utilization rate, high calculation efficiency, low hardware overheadand the like.