Chenhao Fang

Title: Chenhao Fang: Innovator in Neural Network Graph Partitioning

Introduction

Chenhao Fang is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of neural networks, particularly in optimizing their performance on resource-constrained hardware systems. His innovative approach has the potential to enhance the efficiency of various applications that rely on neural networks.

Latest Patents

Chenhao Fang holds a patent for a "Neural networks graph partitioning system and method for the same." This invention discloses a graph partitioning system designed to run neural networks on hardware with limited resources. The system partitions a neural network graph into a series of sub-graphs, allowing multiple sub-graphs to be executed on available hardware subsystems. It utilizes a cost function based on estimated computation time and memory bandwidth of the partitioned sub-graphs. The system also features a cycle estimation model of hardware that can operate quickly and parameterize memory latency. Additionally, it supports heterogeneous partitioning for various types of accelerators, including CPU, GPU, and ASIC.

Career Highlights

Chenhao Fang is currently employed at Black Sesame Technologies Inc., where he continues to develop innovative solutions in the field of neural networks. His work focuses on enhancing the performance and efficiency of neural network applications, making them more accessible for various hardware configurations.

Collaborations

Some of Chenhao Fang's notable coworkers include Wei Zuo and Qiang Zhang. Their collaborative efforts contribute to the advancement of technology in the field of neural networks.

Conclusion

Chenhao Fang's contributions to neural network graph partitioning represent a significant advancement in the field of artificial intelligence. His innovative patent and ongoing work at Black Sesame Technologies Inc. highlight his commitment to improving the efficiency of neural networks on constrained hardware systems.