Company Filing History:
2 out of 22 
1 out of 715 
Years Active: 1992-2001
Title: Innovations of Linda J O'Gara
Introduction
Linda J O'Gara is a notable inventor based in Livermore, CA (US). She has made significant contributions to the field of computer science, particularly in the development of software architectures for multiprocessor systems. With a total of 3 patents, her work has had a profound impact on how processes are scheduled and managed in highly parallel computing environments.
Latest Patents
One of her latest patents is titled "Method and apparatus for user side scheduling in a multiprocessor operating system program that implements distributive scheduling of processes." This invention describes an integrated software architecture that efficiently controls the interface and execution of programs on a multiprocessor system. The architecture combines a multithreaded operating system with a parallel user environment, allowing for an anarchy-based scheduling model that enhances resource management. Another significant patent is "System and method for controlling a highly parallel multiprocessor using," which shares similar features and innovations, focusing on the efficient use of common memory and resources across tightly-coupled processors.
Career Highlights
Throughout her career, Linda has worked with prominent companies such as Supercomputer Systems Limited Partnership and Silicon Graphics, Incorporated. Her experience in these organizations has allowed her to refine her skills and contribute to groundbreaking advancements in multiprocessor systems.
Collaborations
Linda has collaborated with notable professionals in her field, including Robert E Strout, II and Jon A Masamitsu. These collaborations have further enriched her work and expanded the impact of her inventions.
Conclusion
Linda J O'Gara's contributions to the field of computer science through her innovative patents and collaborations highlight her as a significant figure in the realm of multiprocessor systems. Her work continues to influence the development of efficient computing architectures.