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Conference Jul 2026

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...

Keran Zhang, Xinxin Liang, Yuanhong Mao et al. · 0 citations

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