Neural network graph partitioning for improved use of hardware resources

A method for processing a neural network includes receiving a graph corresponding to an artificial neural network including multiple nodes connected by edges. The method determines a set of independent nodes of multiple nodes to be executed in a neural network. The method also determines a next node in the set of independent nodes to add to an ordered set of the multiple nodes corresponding to an order of execution via a hardware resource for processing the neural network. The next node is determined based on a common hardware resource with a first preceding node in the ordered set or a frequency of nodes in the set of independent nodes to be executed via a same hardware resource. The ordered set of the plurality of nodes is generated based on the next node. The method may be repeated until each of the nodes of the graph are included in the ordered set of the nodes.