This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Synopsys, Inc.. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Parul Bhatia - Innovator in Power Verification Systems
Introduction
Parul Bhatia is a notable inventor based in New Delhi, India. She has made significant contributions to the field of power verification systems, particularly through her innovative patent. Her work focuses on creating efficient methods for verifying power behavior in complex systems on chips (SoCs).
Latest Patents
Parul holds a patent titled "System and method for hierarchical power verification." This invention introduces a hierarchical power verification system that creates abstract models of power behavior for modules. These abstract models simplify module definitions by omitting internal details while providing essential information for verifying higher-level modules. The approach reduces run-time and memory requirements by replacing design blocks with abstract power models. These models can include various components such as power switches, supply power states, and power management devices. The power model can be expressed in Unified Power Format (UPF) or as a combination of liberty model and UPF. This innovation allows for quick verification of entire SoCs with a minimal memory footprint.
Career Highlights
Parul Bhatia is currently employed at Synopsys, Inc., where she continues to advance her research and development in power verification technologies. Her expertise in this area has positioned her as a key player in the industry.
Collaborations
Throughout her career, Parul has collaborated with esteemed colleagues such as Shekaripuram V Venkatesh and Nitin Sharma. These collaborations have further enriched her work and contributed to the success of her projects.
Conclusion
Parul Bhatia's innovative contributions to power verification systems exemplify her commitment to advancing technology in the semiconductor industry. Her patent reflects her expertise and dedication to improving efficiency in complex systems.
