Glenfly Technology Co., Ltd.

Via Alliance Semiconductor Co., Ltd.

Guixiang He

Deming Gu

Dongxing Wu

Jiangze Chen

Kangning Zhu

Wei Zhang

Yuanfeng Wang

A neural network computing device and a cache management method thereof are provided. The neural network computing device includes a computing circuit, a cache circuit and a main memory. The computing circuit performs a neural network calculation including a first layer calculation and a second layer calculation. After the computing circuit completes the first layer calculation and generates a first calculation result required for the second layer calculation, the cache circuit retains the first calculation result in the cache circuit until the second layer calculation is completed. After the second layer calculation is completed, the cache circuit invalidates the first calculation result retained in the cache circuit to prevent the first calculation result from being written into the main memory.

Neural network computing device and cache management method thereof

A method provides data synchronization between a sensor hub and an application processor, which contains at least the following steps: generating and adding a plurality of absolute time stamps in a sensor-data stream; and generating and adding a plurality of pieces of sensor data and a plurality of relative time stamps in the sensor-data stream between the moments of generating each two adjacent absolute time stamps, wherein each relative time stamp is associated with one piece of sensor data.

Methods for data synchronization between a sensor hub and an application processor and apparatuses using the same

The invention introduces a method for data synchronization between a sensor hub and an application processor, which contains at least the following steps: generating and adding a plurality of absolute time stamps in a sensor-data stream; and generating and adding a plurality of pieces of sensor data and a plurality of relative time stamps in the sensor-data stream between the moments of generating each two adjacent absolute time stamps, wherein each relative time stamp is associated with one piece of sensor data.

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Shanghai, China

Guixiang He