QUANTIFYING REWARD AND RESOURCE ALLOCATION FOR CONCURRENT PARTIAL DEEP LEARNING WORKLOADS IN MULTI CORE ENVIRONMENTS

摘要

A method for operating an artificial neural network (ANN) includes quantifying a reward for executing ANN tasks in a system having multiple processing cores. A set of processing cores of the multiple processing cores is allocated to execute each of the tasks based on the reward. The ANN tasks are executed concurrently according to the processing core allocation to operate the ANN.