Cambricon Technologies Corporation Limited

Shanghai Cambricon Information Technology Co., Ltd

Xinkai Song

Shaoli Liu

Yao Zhang

Bingrui Wang

Shuai Hu

Tianshi Chen

Yunji Chen

Xiaofu Meng

Xishan Zhang

Yuzhe Luo

Zhibin Guo

Yubin Shen

Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Integrated circuit chip apparatus

An integrated circuit chip apparatus and a processing method performed by an integrated circuit chip apparatus are disclosed. The disclosed integrated circuit chip apparatus and processing method are used for executing a multiplication operation, a convolution operation, or a training operation of a neural network. The present technical solution has the advantages of a reduced computational cost and low power consumption.

An integrated circuit chip device and related products are provided. The integrated circuit chip device is used for performing a multiplication operation, a convolution operation, or a training operation of a neural network. The device has the advantages of small calculation amount and low power consumption.

Integrated circuit chip device

An integrated circuit chip device and related products are provided. The integrated circuit chip device is used for performing a multiplication operation, a convolution operation or a training operation of a neural network. The device has the advantages of small calculation amount and low power consumption.

The present disclosure provides an integrated circuit chip device and a related product. The integrated circuit chip device includes: a primary processing circuit and a plurality of basic processing circuits. The primary processing circuit or at least one of the plurality of basic processing circuits includes the compression mapping circuits configured to perform compression on each data of a neural network operation. The technical solution provided by the present disclosure has the advantages of a small amount of computations and low power consumption.

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Beijing, China

Xinkai Song