Changxu Zhang

Title: Changxu Zhang: Innovator in Neural Network Acceleration

Introduction

Changxu Zhang is a prominent inventor based in Santa Clara, California. He has made significant contributions to the field of neural network applications through his innovative patents. With a total of two patents to his name, Zhang is recognized for his expertise in hardware acceleration technologies.

Latest Patents

Zhang's latest patents focus on vector operation acceleration with convolution computation units. These applications describe hybrid hardware accelerators, systems, and apparatus designed to perform various computations in neural network applications using the same set of hardware resources. An example of such an accelerator includes weight selectors, activation input interfaces, and a plurality of Multiplier-Accumulation (MAC) circuits organized as multiple MAC lanes. Each MAC lane is configured to receive a control signal indicating whether to perform convolution or vector operations. It can also receive weights and activations according to the control signal and generate output data based on these inputs, which is then fed into an output buffer. Each MAC lane comprises multiple multiplier circuits and adder-subtractor circuits, showcasing Zhang's innovative approach to enhancing computational efficiency.

Career Highlights

Changxu Zhang is currently employed at Moffett International Co., Limited, where he continues to develop cutting-edge technologies in the field of neural networks. His work has positioned him as a key player in the advancement of hardware accelerators.

Collaborations

Zhang collaborates with talented individuals such as Xiaoqian Zhang and Zhibin Xiao, contributing to a dynamic and innovative work environment.

Conclusion

Changxu Zhang's contributions to the field of neural network acceleration through his patents highlight his role as a leading inventor. His work continues to influence advancements in technology and computational efficiency.