Portland, OR, United States of America

Mahesh Jagdish Madhav

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Ampere Computing LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahesh Jagdish Madhav. Retrieved from https://idiyas.com/inventor/mahesh-jagdish-madhav

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mahesh Jagdish Madhav: Innovator in Runtime Adaptive Prefetching

Introduction

Mahesh Jagdish Madhav is a notable inventor based in Portland, OR (US). He has made significant contributions to the field of computing, particularly in the area of many-core systems. His innovative approach to runtime adaptive prefetching has garnered attention in the tech community.

Latest Patents

Mahesh holds a patent titled "Runtime Adaptive Prefetching in a Many-Core System." This patent discloses techniques for enhancing performance in many-core systems. The method involves periodically determining a workload classification for a processor core based on performance indicators. It also includes selecting a prefetching configuration tailored to the workload and configuring the processor core accordingly. Mahesh has 1 patent to his name.

Career Highlights

Mahesh is currently employed at Ampere Computing LLC, where he continues to develop innovative solutions in computing technology. His work focuses on optimizing system performance through advanced prefetching techniques.

Collaborations

Throughout his career, Mahesh has collaborated with talented individuals such as Erika Susana Alcorta Lozano and Raymond Scott Tetrick. These collaborations have contributed to the advancement of technology in their respective fields.

Conclusion

Mahesh Jagdish Madhav is a pioneering inventor whose work in runtime adaptive prefetching is shaping the future of many-core systems. His contributions are vital to enhancing computing performance and efficiency.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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