Parallel Implementation of Deep Neural Networks Applied to Three-Dimensional Data Sets

An integrated circuit (IC) implements an L by M by N three-dimensional aperture function throughout a P by R by C three-dimensional source array. The IC has an input port receiving an ordered stream of independent input values from the source array, an output port producing an ordered stream of independent output values, an array of n compositor circuits, where n=L×M×N, each compositor circuit implementing a sub-function of the aperture function, dedicated pathways between the compositor circuits, delay circuits on the IC receiving values on the dedicated pathways from individual ones of the compositor circuits and providing the delayed values at later times to other compositor circuits downstream, a finalization circuit, and a control circuit operating counters and producing control signals coupled to the compositors, the delay circuits, and the finalization circuit.