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For convolutional neural networks, a simple algorithm to reduce off-chipmemory accesses is proposed by maximally utilizing on-chip memory in a neuralprocess unit. Especially, the algorithm provides an effective way to process amodule which consists of multiple branches and a merge layer. For Inception-V3on Samsung's NPU in Exynos, our evaluation shows that the proposed algorithmmakes off-chip memory accesses reduced by 1/50, and accordingly achieves 97.59% reduction in the amount of feature-map data to be transferred from/tooff-chip memory.

A Simple Method to Reduce Off-chip Memory Accesses on Convolutional Neural Networks