Cambridge, MA, United States of America

Bhavin Ashitkumar Gandhi

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Bhavin Ashitkumar Gandhi: Innovator in Parallel Processing Technologies

Introduction

Bhavin Ashitkumar Gandhi is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of computer science, particularly in the area of parallel processing. His innovative work has led to the development of a patent that enhances data exchange between processing units.

Latest Patents

Gandhi holds a patent titled "Parallel processing for solution space partitions." This patent discloses systems, devices, methods, and computer-readable media that utilize group theoretic techniques to facilitate data exchange between a supervisory central processing unit (CPU) and a group of graphical processing units (GPUs). The CPU employs a tabu search metaheuristic to explore a solution space, aiming to determine an optimal solution to an optimization problem. The process involves determining a fragmentation of the solution space, yielding multiple partitions assigned to respective GPUs for computational results. The CPU iteratively refines these partitions based on the results received until a high-quality solution is achieved.

Career Highlights

Gandhi is currently employed at Cox Automotive, Inc., where he applies his expertise in parallel processing technologies. His work at the company reflects his commitment to advancing computational methods and optimizing performance in automotive applications.

Collaborations

Some of his notable coworkers include Thomas Glenn Bailey and Bruce William Colletti. Their collaboration contributes to a dynamic work environment that fosters innovation and technological advancement.

Conclusion

Bhavin Ashitkumar Gandhi's contributions to parallel processing and optimization demonstrate his role as a key innovator in the field. His patent reflects a significant advancement in computational techniques, showcasing the potential for improved data processing in various applications.

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