Hai Long W Wen

Title: Innovations by Hai Long W Wen

Introduction

Hai Long W Wen is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in optimizing task execution through innovative methods. With a total of two patents to his name, his work focuses on enhancing efficiency in processing tasks.

Latest Patents

Hai Long W Wen's latest patents revolve around leveraging directed acyclic graph (DAG) information to group tasks for execution. The first patent describes embodiments for utilizing DAG information to group tasks executed by at least one processor. It involves determining an Input/Output (I/O) cost for each task within a set and grouping these tasks into task groups based on an applied allocation time. This method aims to improve CPU efficiency by overlapping I/O phases and CPU phases. The second patent similarly focuses on classifying tasks within a set based on their input host set and calculating I/O costs to optimize task execution.

Career Highlights

Hai Long W Wen is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions that enhance computational efficiency and task management.

Collaborations

Some of his notable coworkers include Khalid Ahmed and Kuan Feng, who have collaborated with him on various projects within the company.

Conclusion

Hai Long W Wen's contributions to the field of technology through his patents demonstrate his commitment to innovation and efficiency. His work continues to influence advancements in task execution methodologies.