Company Filing History:
Years Active: 2005-2012
Title: Tim Clayton Muehe: Innovator in Compiler Optimization
Introduction
Tim Clayton Muehe is a notable inventor based in Rochester, MN (US). He has made significant contributions to the field of compiler optimization, holding 2 patents that showcase his innovative approaches. His work focuses on refining tail call optimizations and alias set refinement, which are crucial for enhancing the efficiency of programming languages.
Latest Patents
Muehe's latest patents include "Refining tail call optimizations at link-time" and "Method and apparatus for refining an alias set of address taken variables." The first patent describes a method and apparatus that allows additional tail call optimizations by generating both optimized and non-optimized code for tail call candidates. This process enables a decision to be made later, based on more information regarding program bounds, to implement one of the two earlier codes. The second patent outlines a method for performing alias refinement, where a determination is made regarding the existence of a load of an address for a variable in the intermediate representation of the source code. If such a load exists, further determinations are made to replace indirect references with direct references, thereby optimizing the code.
Career Highlights
Tim Clayton Muehe is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in the field of computer science. His work at IBM has allowed him to collaborate with other talented professionals and contribute to cutting-edge technology.
Collaborations
Some of Muehe's notable coworkers include Patrick Todd Haugen and James Albert Kryka. Their collaborative efforts have further advanced the projects they work on, enhancing the overall impact of their innovations.
Conclusion
Tim Clayton Muehe is a distinguished inventor whose work in compiler optimization has led to significant advancements in programming efficiency. His patents reflect a deep understanding of complex programming concepts and a commitment to innovation.