SEQUENCE OF OPERATIONS IN AN SIMD VLIW PROCESSOR FOR MACHINE-LEARNING COMPUTATIONS

In one embodiment, a system comprising a processor and a non-transitory memory coupled to the processor comprising instructions executable by the processor. The processor, comprising an internal memory; a Multiply-Accumulate (MAC) array; a first vector register array; a second vector register array; and a third vector register array, is operable when executing instructions to transfer weights for M filters and an input activation tensor from an external memory to the internal memory, insert paddings to the input activation tensor in the internal memory based on first configuration parameters, configure the MAC array to a required shape based on second configuration parameters for convolution operations between the input activation tensor and the M filters, and calculate a row of the output activation tensor by performing the convolution operations on corresponding R rows of the input activation tensor with the M filters, wherein R is a filter height.