Company Filing History:
Years Active: 2023-2024
Title: Innovations of Gongyu Zhou
Introduction
Gongyu Zhou is a notable inventor based in Shanghai, China. He has made significant contributions to the field of processing units and performance monitoring. With a total of 2 patents, his work focuses on enhancing the efficiency and functionality of hardware systems.
Latest Patents
Gongyu Zhou's latest patents include a "Shared structure for a logic analyzer and programmable state machine." This innovation involves a processing unit that incorporates a performance monitor to track the performance of the processing unit and its sub-units. The performance monitor features a logic analyzer and implements a state machine using data entries stored in memory. These entries include output signals related to state transitions, which help determine the next state and associated output signals.
Another significant patent is the "Programmable state machine for a hardware performance monitor." This invention also centers around a performance monitor that utilizes a state machine. The state machine is defined by data entries that indicate state transition conditions and output signals. The performance monitor employs logic circuits to ascertain the next state based on input signals and state machine data entries, allowing for user-defined modifications.
Career Highlights
Gongyu Zhou is currently employed at Nvidia Corporation, a leading company in the technology sector. His work at Nvidia focuses on developing advanced performance monitoring systems that enhance the capabilities of processing units.
Collaborations
Gongyu has collaborated with several talented individuals, including Yogesh Kulkarni and Shounak Kamalapurkar. These collaborations have contributed to the innovative projects he has undertaken.
Conclusion
Gongyu Zhou's contributions to the field of processing units and performance monitoring are noteworthy. His patents reflect a commitment to innovation and improvement in technology. His work continues to influence advancements in hardware performance monitoring systems.