AI芯片的产品设计与安全设计.pdf

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.

通过研究论文资料总结了三种ASIC芯片的结构原理等，包括VPU、TPU和寒武纪芯片

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