The invention discloses a configurable convolution accelerator applied to a convolutional neural network, which comprises a transmission clock domain module and a main clock domain module, and is characterized in that the main clock domain module comprises a computing unit array, a global cache and an on-chip network; the global cache is used for storing the a first intermediate result, the a second intermediate result, the an input feature map and the convolution kernel weight, and transmitting the output feature map; the on-chip network is used for controlling multiplexing of the structure of the computing unit array, the convolution kernel and the input feature map, and controlling the position and direction of data transmission; and the calculation module is used for performing convolution calculation on the acquired input feature map, the convolution kernel weight and the first intermediate result to acquire a second intermediate result and an output feature map. According to theconfigurable accelerator, the structure of the computing unit array is controlled through the network-on-chip, multiplexing of the computing unit on the input feature map and the convolution kernel and accumulation of the second intermediate result are achieved, off-chip storage access of the input feature map and convolution kernel data is remarkably reduced, and then power consumption of the configurable accelerator is reduced.