Fei Wang

Title: Fei Wang: Innovator in Neural Network Optimization

Introduction: Fei Wang is a prominent inventor based in Jinan, China. He has made significant contributions to the field of neural networks, particularly in the optimization of convolution kernels. His innovative approach has led to the development of a unique patent that enhances the performance of neural networks.

Latest Patents: Fei Wang holds a patent for an "Auto generation and tuning tool for convolution kernels." This invention encompasses systems, apparatuses, and methods for implementing an auto generation and tuning tool for convolution kernels. A processor executes multiple tuning runs of a given layer of a neural network while using a different set of operating parameter values for each tuning run. The operating parameters can include one or more of input dataset fetch group size, output channel group size, and other parameters. The processor captures performance data for each tuning run and, after all tuning runs have finished, determines which set of operating parameter values resulted in better performance for the given neural network layer. The processor uses these operating parameter values for subsequent iterations of the given layer. Additionally, the processor performs the same techniques for other layers to maximize the performance of the neural network.

Career Highlights: Fei Wang is currently employed at Advanced Micro Devices Corporation, where he continues to push the boundaries of technology in the field of artificial intelligence and machine learning. His work has been instrumental in advancing the capabilities of neural networks, making them more efficient and effective.

Collaborations: Fei Wang collaborates with various professionals in his field, including his coworker Jian Long Yang. Their combined expertise contributes to the innovative projects at Advanced Micro Devices Corporation.

Conclusion: Fei Wang's contributions to neural network optimization through his patent and work at Advanced Micro Devices Corporation highlight his role as a key innovator in the technology sector. His efforts continue to shape the future of artificial intelligence and machine learning.