Company Filing History:
Years Active: 2018
Title: Hemant Kulkarni: Innovator in Link Time Optimization
Introduction
Hemant Kulkarni is a notable inventor based in Cedar Park, TX (US). He has made significant contributions to the field of software optimization, particularly in link time optimization techniques. With a total of 2 patents to his name, Kulkarni's work has had a substantial impact on the efficiency of computer programs.
Latest Patents
Kulkarni's latest patents include innovative methods for optimizing source code at link-time. One of his patents, titled "Link time program optimization in presence of a linker script," describes a method that optimizes the source code of files from a computer program by utilizing a customized linker script. This method involves adding metadata to intermediate representation files and parsing them to assign output sections based on default section assignments.
Another significant patent is the "System and method for link time optimization." This method involves parsing an intermediate representation file to identify symbols and creating a symbol use tree. The linker discards any objects for which no use can be identified, ensuring that only necessary components are compiled, thus enhancing the overall efficiency of the program.
Career Highlights
Hemant Kulkarni is currently employed at Qualcomm Innovation Center, Inc., where he continues to develop innovative solutions in software optimization. His expertise in link time optimization has positioned him as a key contributor to advancements in this area.
Collaborations
Throughout his career, Kulkarni has collaborated with talented individuals such as Sergei Larin and Shankar Kalpathi Easwaran. These collaborations have fostered an environment of innovation and have led to the development of cutting-edge technologies.
Conclusion
Hemant Kulkarni's contributions to link time optimization reflect his dedication to enhancing software efficiency. His patents and work at Qualcomm Innovation Center, Inc. demonstrate his commitment to innovation in the field of computer programming.