Anhui Cambricon Information Technology Co., Ltd.

Linyang Wu

Liming Chen

Ziyi Wang

The present disclosure relates to a method and a device for generation operation data and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction caching unit, an instruction processing unit and a queue-storing unit. The instruction caching unit is used to store computing instructions associated with artificial neural network operations. The instruction processing unit is used to resolve the computing instructions to obtain a plurality of operation instructions. The queue-storing unit is used to store an instruction queue, which comprises: a plurality of operation instructions or computing instructions to be executed according to the front-to-rear sequence of the queue. Through the above method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

Method and device for generating operation data and related product

The present disclosure relates to a deep learning algorithm compiling method and a device and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction cache unit, an instruction processing unit, and a queue-storing unit. The instruction cache unit is configured to store computation instructions associated with artificial neural network operations. The instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions. The queue-storing unit is configured to store an instruction queue, which comprises: a plurality of operation instructions or computation instructions to be executed according to the front-to-rear sequence of the queue. By means of the described method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

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Hefei, China

Linyang Wu