Before revision:  We develop a performance prediction model that , from convolutional layer descriptors , predicts the execution time of each layer individually on all different core types and number of cores . Pipe-it then exploits the predictions to create a balanced pipeline using an efficient design space exploration algorithm.
After revision:  We develop a performance-prediction model that utilizes only the convolutional layer descriptors , predicts the execution time of each layer individually on all different core types and number of cores . Pipe-it then exploits the predictions to create a balanced pipeline using an efficient design space exploration algorithm.