Company Filing History:
Years Active: 2008-2014
Title: Innovations of Jen-Yeu Chen
Introduction
Jen-Yeu Chen is a notable inventor based in Cedar Park, TX (US). He has made significant contributions to the field of technology, particularly in the area of multi-threaded processor environments. With a total of 4 patents, his work has advanced the capabilities of simultaneous thread execution.
Latest Patents
Among his latest patents, one focuses on programming in a simultaneous multi-threaded processor environment. This patent describes a system, method, and product for testing multiple threads simultaneously, where the threads share a real memory space. A first portion of this memory space is designated as exclusive memory, appearing reserved for use by only one thread. The threads are executed simultaneously, allowing them to access this exclusive portion during execution. This innovative approach permits apparent exclusive use of the memory space by multiple threads at the same time.
Another patent by Chen also addresses programming in a simultaneous multi-threaded processor environment. It includes methods for permitting apparently exclusive access to multiple threads while disabling certain processor features during thread testing. This further enhances the efficiency and effectiveness of multi-threaded processing.
Career Highlights
Jen-Yeu Chen is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with other talented professionals in the field, contributing to groundbreaking advancements in technology.
Collaborations
Some of his notable coworkers include Luai A Abou-Emara and Ronald Nick Kalla. Their collaborative efforts have played a crucial role in the development of innovative solutions in multi-threaded processing.
Conclusion
Jen-Yeu Chen's contributions to the field of technology, particularly in multi-threaded processor environments, demonstrate his innovative spirit and dedication to advancing the industry. His patents reflect a deep understanding of complex systems and a commitment to improving processing capabilities.