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文件名称：ai芯片加速论文
文件大小：554KB
文件格式：PDF
更新时间：2021-12-04 06:47:41
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.