Company Filing History:
Years Active: 2015
Title: Innovations of Feng-Jung Kao
Introduction
Feng-Jung Kao is an accomplished inventor based in Roseville, MN (US). He has made significant contributions to the field of binary translation systems. His innovative work focuses on optimizing the generation of natively executable code from non-native binary code.
Latest Patents
Feng-Jung Kao holds a patent for "Operand and limits optimization for binary translation system." This patent discloses methods and systems for optimizing the generation of natively executable code from non-native binary code. One method includes receiving a source file that contains binary code configured for execution according to a non-native instruction set architecture. The process involves translating one or more code blocks included in the executable binary code to source code and applying an optimizing algorithm to the instructions in those code blocks. The selected optimizing algorithm aims to reduce the number of memory address translations performed when translating the source code to native executable binary code, resulting in one or more optimized code blocks. The method further includes compiling the source code to generate an output file comprising natively executable binary code that includes the optimized code blocks.
Career Highlights
Feng-Jung Kao is currently employed at Unisys Corporation, where he continues to develop innovative solutions in the field of computing. His work has garnered attention for its practical applications and efficiency improvements in binary translation.
Collaborations
Feng-Jung has collaborated with notable professionals in his field, including Judge William Yohn and Mitchell A Bauman. These collaborations have contributed to the advancement of technology in binary translation systems.
Conclusion
Feng-Jung Kao's contributions to the field of binary translation systems demonstrate his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in optimizing code generation, showcasing his expertise and dedication to his work.