Cambricon-X: An Accelerator for Sparse Neural Networks
摘要 神经网络（NNs）已被证明在广泛的应用中很有用，例如图像识别，自动翻译和广告推荐。由于不断增加的深层结构，即具有大量神经元和连接（即突触）的多层结构，因此，最新的NN既需要大量计算又需要大量内存。稀疏神经网络已成为减少所需计算量和内存量的有效解决方案。尽管现有的NN加速器能够有效处理密集且规则的网络，但它们无法从突触权重的降低中受益。在本文中，我们提出了一种新型的加速器Cambricon-X
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相关文章
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