"1. Automatically generate Verilog code tools based on the hardware architecture of convolutional neural networks: 4 different hardware architectures (output stationary, weight stationary, Tree architecture, NVDLA) can be generated for the currently more commonly used DNN networks. 2. Visual performance index analysis tool: According to the selected DNN model,the choice of hardware architecture specifications, analyze the performance index."

This study explores the energy-saving efficiency of a complex water-cooled chiller system composed of multiple chillers, cooling towerswater pumps connected by circulation pipelines. The deep learning modeling method driven by big data provides optimized parameters of the water-cooled chiller system to reduce the power consumption of the chiller system. Experiments show that this technology can increase the power saving efficiency of AU Optronics Longtan L5B factory by 2.42. This method has been implemented in many factories of AUO.

"1. Use PE Cluster to make the calculation reconfigurable,can be modularized into 36X PEs, supporting up to 2160PEs 2. It can be configured as an independent IP with high computing throughputlow power consumption. The computing performance can reach 864 GOPS@200MHz when 2160PEs are employed."

This technology＇s nanofluid/ultrasonic atomization micro-lubrication system is different from the general micro-lubrication technology that uses high-pressure air atomization. It is first to use cavitation characteristics to disperse a small amount of nanofluid into microscopic particleseffectively disperse the bondingagglomeration of nanoparticles due to the Van der Waals force. The second stage of atomization is carried out through high-pressure air. The oil mist particles of the nanofluid can easily enter the micro-machining cutting area for coolinglubrication.