Abstract: A method and an apparatus for reading cache data, and a storage medium are provided. The method includes: receiving a read instruction; converting at least one type of address offset position corresponding to the read instruction into a coupled address offset position according to a preset rule; performing a matching operation in a data group according to the coupled address offset position which corresponds to the at least one type of address offset position and obtaining corresponding cache data; reading the cache data obtained through matching. This method is able to simultaneously perform matching operations and reading operations for at least two combined address offset positions, thereby greatly improving data reading efficiency and doubling cache data reading throughput without significantly increasing hardware logic. Furthermore, this configuration is applicable to read-only cache, read-write cache, and write-only cache, possessing great versatility.

Abstract: Convolution operation method and apparatus, matrix decompression device and graphics processor are provided. The method includes: loading, from a preset memory layout, at least one target feature tile constituting any sub-feature map in an original feature map for the any sub-feature map; the memory layout being obtained by writing at least one feature tile into memory according to preset way of data arrangement; the at least one feature tile being obtained by tiling the original feature map; decompressing a feature map which is composed of the at least one target feature tile according to a convolution parameter of a convolutional layer to obtain a destination decompressed matrix; performing a matrix multiplication operation on the destination decompressed matrix and the decompressed matrix corresponding to a convolution kernel to obtain a convolution operation result of the original feature map. The present disclosure may improve the convolution operation efficiency.