Pengyu Wang

Title: Innovations of Pengyu Wang in Graph Computing

Introduction

Pengyu Wang is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of graph computing, particularly in memory management and data processing techniques. With a total of two patents to his name, Wang's work focuses on enhancing the performance of large-scale graph applications.

Latest Patents

Wang's latest patents include an "Adaptive Unified Memory Management Method and System for Large-Scale Graphs." This innovative method proposes a unified memory management policy that improves GPU bandwidth utilization and reduces page faults when processing large graphs. His second patent, titled "Graph Sampling and Random Walk Acceleration Method and System on GPU," introduces a method for efficiently processing graph data using GPU technology. This method enhances sampling throughput and reduces overall running time, showcasing Wang's commitment to advancing graph data processing.

Career Highlights

Pengyu Wang is affiliated with Shanghai Jiao Tong University, where he continues to push the boundaries of research in graph computing. His work has garnered attention for its practical applications in various industries, making him a valuable asset to the academic community.

Collaborations

Wang collaborates with notable colleagues, including Chao Li and Jing Wang, who contribute to his research endeavors. Their combined expertise fosters an environment of innovation and discovery in the field of graph computing.

Conclusion

Pengyu Wang's contributions to graph computing through his innovative patents and collaborative efforts highlight his role as a leading inventor in this domain. His work not only enhances the efficiency of graph data processing but also paves the way for future advancements in technology.