Austin, TX, United States of America

Sanjay Patel

This inventor holds 1 USPTO granted patent. Top assignee: Motorola Corporation. Active years: 1999.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 1999

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Sanjay Patel

Introduction

Sanjay Patel is an accomplished inventor based in Austin, TX. He has made significant contributions to the field of technology, particularly in processor efficiency. His innovative approach has led to the development of a unique patent that addresses critical issues in data fetching.

Latest Patents

Sanjay Patel holds a patent titled "Method for canceling partial line fetch for cache when new data is." This invention focuses on optimizing the way processors handle data requests. When a processor issues a request for an address, it determines whether the address is contained within a buffer or cache associated with the processor or within a line of data currently being fetched from an external memory system. If the address is not found in either location, the current fetch is canceled, enhancing overall processing efficiency.

Career Highlights

Sanjay Patel is currently employed at Motorola Corporation, where he continues to innovate and contribute to advancements in technology. His work has been instrumental in improving processor performance and efficiency. With a patent portfolio that includes 1 patent, he has established himself as a valuable asset in the tech industry.

Collaborations

Throughout his career, Sanjay has collaborated with notable colleagues, including Donald L Tietjen and Frank C Galloway. These partnerships have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.

Conclusion

Sanjay Patel's contributions to technology through his patent and work at Motorola Corporation highlight his role as a significant inventor in the industry. His innovative methods for optimizing data fetching processes demonstrate the impact of his work on modern computing.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…