MAFlow: A Memory-access Optimized CNN Inference Dataflow for Large-sized Feature
Due to the limited memory bandwidth of embedded systems, Convolutional Neural Networks (CNNs) often suffer from slow inference speeds when processing large-sized feature maps. This paper proposes a dataflow design named MAFlow, which includes the design of a hardware architecture and a five-step on-chip convolution pip...