Chandler, AZ, United States of America

Abhishek Khade

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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8 patents (USPTO):

Title: Abhishek Khade: Innovator in Multi-Core Computing Technologies

Introduction

Abhishek Khade is a prominent inventor based in Chandler, Arizona, known for his significant contributions to multi-core computing technologies. With a total of eight patents to his name, Khade has made remarkable advancements in the field, particularly in dynamic load balancing and hardware queue scheduling.

Latest Patents

Khade's latest patents include innovative methods and systems for dynamic load balancing in multi-core computing environments. One of his notable inventions involves an apparatus that utilizes multiple cores of a processor to efficiently manage data packets. This technology enables the allocation of secondary cores to handle data packets when the primary core's throughput does not meet a specified threshold. Another significant patent focuses on hardware queue scheduling, which enhances the processing of data packets by assigning identifiers to queues and distributing tasks between cores to optimize performance.

Career Highlights

Abhishek Khade is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies that improve computing efficiency. His work has been instrumental in advancing the capabilities of multi-core processors, making them more effective in handling complex data flows.

Collaborations

Throughout his career, Khade has collaborated with talented professionals, including Stephen T Palermo and Sarita Maini. These partnerships have fostered a creative environment that encourages innovation and the development of groundbreaking technologies.

Conclusion

Abhishek Khade's contributions to multi-core computing are noteworthy, as he continues to push the boundaries of technology through his inventive spirit. His patents reflect a deep understanding of computing systems and a commitment to enhancing their performance.

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