This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Weichung Wang: Innovator in Cognitive Scheduling
Introduction
Weichung Wang is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of resource allocation in computing systems. His innovative approach focuses on enhancing the efficiency of cluster systems through advanced learning models.
Latest Patents
Weichung Wang holds 1 patent for his invention titled "Cognitive Scheduler." This patent describes a method and apparatus for allocating available resources in a cluster system using learning models and tuning methods. The learning model is trained from historical performance data of previously executed jobs, which helps in projecting the suggested amount of resources needed for job execution. The tuning process optimizes the configuration of these resources to achieve an optimal operating point. By understanding correlations between historical data and objective functions, the learning and tuning process can be refined to improve resource utilization and overall system performance.
Career Highlights
Weichung Wang is currently employed at International Business Machines Corporation (IBM). His work at IBM has allowed him to explore innovative solutions in resource management and optimization. His contributions have been instrumental in advancing the capabilities of cluster systems.
Collaborations
Weichung has collaborated with notable colleagues, including I-Hsin Chung and Paul Gregory Crumley. Their teamwork has fostered an environment of innovation and has led to significant advancements in their respective fields.
Conclusion
Weichung Wang's work in cognitive scheduling exemplifies the intersection of technology and innovation. His contributions to resource allocation in cluster systems are paving the way for more efficient computing solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
