DANCE: Differentiable Accelerator/Network Co-Exploration

14 Sep 2020Kanghyun ChoiDeokki HongHojae YoonJoonsang YuYoungsok KimJinho Lee

To cope with the ever-increasing computational demand of the DNN execution, recent neural architecture search (NAS) algorithms consider hardware cost metrics into account, such as GPU latency. To further pursue a fast, efficient execution, DNN-specialized hardware accelerators are being designed for multiple purposes, which far-exceeds the efficiency of the GPUs... (read more)

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