Memory-Efficient Depthwise Convolution Accelerator with Run-Length Coding

In resource-constrained environments such as embedded systems, AI computations are limited by storage capacity and data transfer overhead. This paper proposes a hardware accelerator to reduce the memory usage of activation data for depthwise convolution in MobileNet-V1. In comparison with various co... View More