Company Filing History:
Years Active: 2004-2018
Title: Innovations of Paul Fuqua
Introduction
Paul Fuqua is a notable inventor based in Dallas, Texas. He has made significant contributions to the field of computer science, particularly in compiler technology. With a total of three patents to his name, Fuqua's work has had a lasting impact on how programs are compiled and optimized.
Latest Patents
One of Fuqua's latest patents is a linear-time algorithm designed to determine the maximum number of iterations of the iterative algorithm for data-flow analysis for reducible loops. This invention involves a compiler that converts high-level language programs into machine-level language programs. The process includes forming an initial control flow graph and performing iterative collapsing operations until only a single node remains. After these operations, data flow analysis is conducted based on the collapse count, leading to the generation of the corresponding machine-level language program.
Another significant patent is a method of generating profile-optimized code. This method utilizes a user interface that allows users to visually understand, inspect, and manipulate a compiled application program based on various compiler options, such as code size and speed. The program is compiled with multiple options, and the resulting executables are profiled. The profiles are analyzed to generate useful solutions, which are then displayed at the user interface for user interaction.
Career Highlights
Paul Fuqua is currently employed at Texas Instruments Corporation, where he continues to innovate in the field of technology. His work has been instrumental in advancing compiler design and optimization techniques.
Collaborations
Fuqua has collaborated with notable coworkers, including Alan S. Ward and Reid E. Tatge, contributing to various projects and innovations within the company.
Conclusion
Paul Fuqua's contributions to compiler technology and optimization have established him as a significant figure in the field. His innovative patents reflect his dedication to improving programming efficiency and effectiveness.
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