Abstract: A data processing method and apparatus using a neural network, and an electronic device including the data processing apparatus. The data processing method includes identifying an operator that selects one of a plurality of execution paths for a portion of the neural network while sequentially executing layers included in the neural network, selecting a specific execution path, from among the plurality of execution paths, based on a remaining time that is left for an inference of the neural network, and obtaining a result of the inference of the neural network through the specific execution path.

Abstract: A method and a device with deep learning operations. An electronic device includes a processor configured to simultaneously perform, using a systolic array, a plurality of tasks, wherein the processor includes the systolic array having a plurality of processing elements (PEs), and a first on-chip network that performs data propagation between two or more of the plurality of PEs, where each of the plurality of tasks includes one or more deep learning operations.

Abstract: A method for processing an artificial network by an electronic device includes obtaining, by using a first processor and a second processor, a neural network computation plan for performing computation of a first neural network layer of the artificial neural network, performing a first portion of a computation of the first neural network layer by using the first processor, and performing a second portion of the computation of the first neural network layer by using the second processor based on the obtained neural network computation plan, obtaining a first output value based on a performance result of the first processor and a second output value based on a performance result of the second processor, and using the obtained first output value and the second output value as an input value of a second neural network layer of the artificial neural network.