This inventor holds 1 USPTO granted patent. Top assignee: Huazhong University of Science and Technology. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yun Yang - Innovator in Energy-Efficient Graph Processing
Introduction
Yun Yang is a prominent inventor based in Wuhan, China. He has made significant contributions to the field of energy-efficient computing, particularly in graph processing technologies. His innovative approach combines hardware and software to enhance performance while minimizing energy consumption.
Latest Patents
Yun Yang holds 1 patent for his invention titled "Energy-efficient hardware-software collaborative method and apparatus for graph processing." This invention focuses on a collaborative method and apparatus designed to improve energy efficiency in graph processing. The apparatus includes a dependency path prefetching unit that receives active vertex information and prefetches edges of graph partitions along a dependency path. It also features a direct dependency managing unit that converts dependency relationships into direct dependencies, managing them in a cache and updating dependency indexes according to dynamic changes in graph structure. This innovative accelerator can be integrated into multi-core processors, allowing for high concurrency and faster convergence during graph processing.
Career Highlights
Yun Yang is affiliated with Huazhong University of Science and Technology, where he continues to advance research in energy-efficient computing. His work has garnered attention for its practical applications in various computational fields.
Collaborations
Yun Yang collaborates with fellow researcher Yu Zhang, contributing to advancements in their shared field of study.
Conclusion
Yun Yang's innovative work in energy-efficient graph processing exemplifies the potential of combining hardware and software solutions to address modern computational challenges. His contributions are paving the way for more sustainable computing practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile