Sharad Gaur

Title: Innovations by Sharad Gaur in Data Analysis

Introduction

Sharad Gaur is an accomplished inventor based in Larmatala, Oman. He has made significant contributions to the field of data analysis, particularly in improving coverage convergence during the simulation of devices under validation.

Latest Patents

Sharad Gaur holds a patent titled "Automated coverage convergence by correlating random variables with coverage variables sampled from simulation result data." This innovative patent describes a data analysis engine implemented in a testbench to enhance coverage convergence during the simulation of a device-under-validation (DUV). The process begins with the generation of initial stimulus data based on user-provided constraint parameters. The data analysis engine then employs a time-based technique to match coverage variables sampled from simulation response data with corresponding initial random variables. It determines a functional dependency between these variables and automatically generates revised constraint parameters. These revised parameters are utilized in a second simulation phase to create focused random variables that stimulate the DUV to achieve additional coverage variables. The functional dependency is determined by cross-correlating sampled coverage variables and corresponding initial random variables.

Career Highlights

Sharad Gaur is currently employed at Synopsys, Inc., where he continues to innovate and contribute to advancements in data analysis and simulation technologies. His work has been instrumental in enhancing the efficiency and accuracy of simulations in various applications.

Collaborations

Some of Sharad's notable coworkers include Esha Dutta and Danish Jawed, with whom he collaborates on various projects within the company.

Conclusion

Sharad Gaur's innovative work in data analysis and simulation has made a significant impact in his field. His patent demonstrates a forward-thinking approach to improving coverage convergence, showcasing his expertise and dedication to advancing technology.