NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs

The tremendous impact of deep learning algorithms over a wide range of application domains has encouraged a surge of neural network (NN) accelerator research. An evolving benchmark suite and its associated benchmark method are needed to incorporate emerging NN models and characterize NN workloads. In this paper, we propose a novel approach to understand the performance characteristic of NN workloa...