韓鬆 EIE： Efficient Inference Engine on Compressed Deep Neural Network論文詳解
EIE爲韓鬆博士在ISCA 2016上的論文，實現了壓縮的稀疏神經網絡的硬件加速。 與其近似方法的ESE獲得了FPGA2017的最佳論文。 背景與介紹 最新的DNN模型都是運算密集型和存儲密集型，難以硬件部署。 提出了EIE （Efficient Inference Engine）的方法，將壓縮模型應用與硬件。 矩陣表示 這是一個稀疏矩陣相乘的過程，輸入向量a，乘以矩陣W，輸出矩陣爲b，然後經過了
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