Location History:
- Mitaka, JP (1995 - 1996)
- Mitaki, JP (1997)
Company Filing History:
Years Active: 1995-1997
Title: Kiyotaka Nagamura: Innovator in Data Flow Processing
Introduction
Kiyotaka Nagamura is a notable inventor based in Mitaka, Japan. He has made significant contributions to the field of data flow processing, holding a total of 4 patents. His work focuses on enhancing the efficiency and functionality of data processing systems.
Latest Patents
Nagamura's latest patents include a "Data Flow Processor and Data Flow Process Changing System." This invention aims to relieve the processes executed in a data flow processor and allows for the modification of constants within the data flow process. The system features a counter section that counts input data, a destination number selecting section, and a tagging section for packet formation. This innovation enables the program executed in the data flow processor to be altered based on the counted input data.
Another significant patent is the "Debugging System for the Loading and Execution of Data Flow Programs." This data processing system incorporates a data-driven processor that performs various information processing tasks in parallel using multiple data packets. It includes a router and several von Neumann processors, allowing for efficient program loading and verification of proper operation processing.
Career Highlights
Throughout his career, Kiyotaka Nagamura has worked with prominent companies such as Japan Radio Co., Ltd. and Sharp Corporation. His experience in these organizations has contributed to his expertise in data processing technologies.
Collaborations
Nagamura has collaborated with notable individuals in his field, including Tsuyoshi Muramatsu and Souichi Miyata. These partnerships have likely fostered innovation and advancements in their respective projects.
Conclusion
Kiyotaka Nagamura's contributions to data flow processing through his patents and collaborations highlight his role as an influential inventor in the technology sector. His work continues to impact the efficiency of data processing systems.