A system for enhanced data processing using one or more virtualized hardware iterators in a neural network environment, the system comprising: a plurality of processing components being neuron processors; at least one iterator controller and at least one operation controller wherein the at least one iterator controller is a virtualization of one or more hardware iterators that can be deployed as multiple instances running alternatively/simultaneously; a memory controller; and at least one memory in communication with the at least one iterator controller and the at least one operation controller, the at least one memory having computer-readable instructions stored thereupon that, when executed by the at least one iterator controller and the at least one operation controller, cause the at least one iterator controller and the at least one operation controller to: receive one or more initialization parameters from the at least one iterator controller and the at least one operation controller, the initialization parameters comprising data representative of dimensions for input data to be processed by the neural network environment; identify physical memory addressing where the input data is being stored using the one or more initialization parameters; using a logical data mapping protocol, read in the input data from the at least one memory of the neural network environment by using one or more sliding windows to read one or more portions of the input data according to the logical data mapping protocol, the sliding windows operative to straddle one or more lines of the logical data map and the logical data mapping protocol operative to allow the use of padding; generate an internal state representative of the one or more portions of the input data being prepared for processing; generate one or more instructions for communication to the memory controller to handle the memory storage for one or more portions of the input data; process the one or more instructions to select one or more portions of the read in data according to one or more iterator operation types and the one or more initialization parameters; and communicate the one or more portions of the read in data to the neuron processors. a plurality of processing components being neuron processors; at least one iterator controller and at least one operation controller wherein the at least one iterator controller is a virtualization of one or more hardware iterators that can be deployed as multiple instances running alternatively/simultaneously; a memory controller; and at least one memory in communication with the at least one iterator controller and the at least one operation controller, the at least one memory having computer-readable instructions stored thereupon that, when executed by the at least one iterator controller and the at least one operation controller, cause the at least one iterator controller and the at least one operation controller to: receive one or more initialization parameters from the at least one iterator controller and the at least one operation controller, the initialization parameters comprising data representative of dimensions for input data to be processed by the neural network environment; identify physical memory addressing where the input data is being stored using the one or more initialization parameters; using a logical data mapping protocol, read in the input data from the at least one memory of the neural network environment by using one or more sliding windows to read one or more portions of the input data according to the logical data mapping protocol, the sliding windows operative to straddle one or more lines of the logical data map and the logical data mapping protocol operative to allow the use of padding; generate an internal state representative of the one or more portions of the input data being prepared for processing; generate one or more instructions for communication to the memory controller to handle the memory storage for one or more portions of the input data; process the one or more instructions to select one or more portions of the read in data according to one or more iterator operation types and the one or more initialization parameters; and communicate the one or more portions of the read in data to the neuron processors. receive one or more initialization parameters from the at least one iterator controller and the at least one operation controller, the initialization parameters comprising data representative of dimensions for input data to be processed by the neural network environment; identify physical memory addressing where the input data is being stored using the one or more initialization parameters; using a logical data mapping protocol, read in the input data from the at least one memory of the neural network environment by using one or more sliding windows to read one or more portions of the input data according to the logical data mapping protocol, the sliding windows operative to straddle one or more lines of the logical data map and the logical data mapping protocol operative to allow the use of padding; generate an internal state representative of the one or more portions of the input data being prepared for processing; generate one or more instructions for communication to the memory controller to handle the memory storage for one or more portions of the input data; process the one or more instructions to select one or more portions of the read in data according to one or more iterator operation types and the one or more initialization parameters; and communicate the one or more portions of the read in data to the neuron processors.