ai芯片加速论文

上传者: duyankang | 上传时间: 2020-01-18 03:05:34 | 文件大小: 554KB | 文件类型: pdf
AI
寒武纪系列论文,Many companies are deploying services, either for consumers or industry, which are largely based on machine-learning algorithms for sophisticated processing of large amounts of data. The state-of-the-art and most popular such machine-learning algorithms are Convolutional and Deep Neural Networks (CNNs and DNNs), which are known to be both computationally and memory intensive. A number of neural network accelerators have been recently proposed which can offer high computational capacity/area ratio, but which remain hampered by memory accesses.

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