韩松 EIE： Efficient Inference Engine on Compressed Deep Neural Network论文详解
EIE为韩松博士在ISCA 2016上的论文，实现了压缩的稀疏神经网络的硬件加速。 与其近似方法的ESE获得了FPGA2017的最佳论文。 背景与介绍 最新的DNN模型都是运算密集型和存储密集型，难以硬件部署。 提出了EIE （Efficient Inference Engine）的方法，将压缩模型应用与硬件。 矩阵表示 这是一个稀疏矩阵相乘的过程，输入向量a，乘以矩阵W，输出矩阵为b，然后经过了
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