Fuhai Gao

Title: Fuhai Gao: Innovator in Sparse Matrix Vector Multiplication Prediction

Introduction

Fuhai Gao is a notable inventor based in Beijing, China. He has made significant contributions to the field of computational mathematics, particularly in the area of sparse matrix vector multiplication. His innovative approach has led to the development of a unique method that enhances the efficiency of this computational process.

Latest Patents

Fuhai Gao holds a patent for a "Method and system for predicting operation time of sparse matrix vector multiplication." This patent describes a method that involves constructing a convolutional neural network with an input layer, a feature processing layer, a data splicing layer, and an output layer for generating prediction results. The method includes acquiring multiple groups of sparse matrices with known operation times as sample data, training the convolutional neural network with this data, and subsequently using the trained network to predict the operation time for new sparse matrices.

Career Highlights

Throughout his career, Fuhai Gao has worked with prestigious institutions such as the China Institute of Atomic Energy and the Chinese Academy of Sciences. His work in these organizations has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Fuhai Gao has collaborated with notable colleagues, including Jue Wang and Yangde Feng. Their combined expertise has further advanced the research and development of innovative solutions in computational mathematics.

Conclusion

Fuhai Gao's contributions to the field of sparse matrix vector multiplication prediction exemplify the impact of innovative thinking in technology. His patent and career achievements highlight the importance of research and collaboration in driving advancements in computational methods.