Abstract: Neural network inference may be performed by configuration of a device including an accumulation memory, a plurality of convolution modules configured to perform mathematical operations on input values, a plurality of adder modules configured to sum values output from the plurality of convolution modules, and a plurality of convolution output interconnects connecting the plurality of convolution modules, the plurality of adder modules, and the accumulation memory. The accumulation memory is an accumulation memory allocation of a writable memory block having a reconfigurable bank width, and each bank of the accumulation memory allocation is a virtual combination of consecutive banks of the writable memory block.