Fremont, CA, United States of America

Amit Pabalkar

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Amit Pabalkar in Power Management Technologies

Introduction

Amit Pabalkar is an accomplished inventor based in Fremont, CA, known for his significant contributions to power management technologies. With a total of 5 patents to his name, he has made notable advancements in optimizing power consumption in computing devices.

Latest Patents

One of his latest patents focuses on power management in a multiple-processor computing device. This method involves detecting the power usage of a first processor and determining the extra power available based on a power budget. The system then transmits a value to a driver associated with a second processor, allowing for adjustments in operating parameters based on the available power. Another significant patent addresses metering GPU workload with real-time feedback to maintain power consumption below a predetermined budget. This invention utilizes a Workload Metering (WLM) algorithm to calculate a duty cycle for the graphics engine, ensuring efficient power management by transitioning the engine between busy and idle states.

Career Highlights

Amit Pabalkar is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia has allowed him to focus on innovative solutions that enhance power efficiency in high-performance computing environments.

Collaborations

Throughout his career, Amit has collaborated with talented individuals such as Sau Yan Keith Li and Thomas Edward Dewey. These collaborations have contributed to the development of cutting-edge technologies in the field of power management.

Conclusion

Amit Pabalkar's work in power management technologies showcases his dedication to innovation and efficiency. His patents reflect a commitment to advancing the capabilities of computing devices while minimizing power consumption.

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