Xi'an Zhongxing New Software Co., Ltd.

Shenzhen Intellifusion Technologies Co., Ltd.

Ning Chen

Wei Li

Qingxin Cao

Zhijun Liu

Heguo Wang

LeaHwang Lee

Aijun Li

A neural network processor and a control method are provided. The neural network processor includes a neural network processor cluster formed by multiple single-core neural network processors and a peripheral module. The peripheral module includes a main control unit and a DMA module. The DMA module is used to convey a first task descriptor to the main control unit. The main control unit is used to: analyze the first task descriptor, determine, according to an analysis result, a subtask to be distributed to each selected processor; modify the first task descriptor to acquire a second task descriptor respectively corresponding to each selected processor; and distribute each second task descriptor to each corresponding selected processor, and activate each selected processor to process the corresponding subtask. The main control unit schedules and manages all of the single-core neural network processors, thereby leveraging operational performance of the neural network processor.

Neural network processor and control method of neural network processor

The present disclosure relates to a method and system for updating a webpage and a webpage server. The method includes: upon detection of an update instruction, acquiring a feature value of an update process that generates the update instruction, the feature value comprising a process name and process identification of the update process; comparing the acquired feature value with each set of feature values in a preset process whitelist; and if there is an item in the preset process whitelist which is identical to the acquired feature value, adjusting a stored webpage document according to the update instruction.

Webpage updating method and system and webpage server

Growing community of inventors

Guangdong, China

Ning Chen