Beaverton, OR, United States of America

Laxmi Vishwanathan

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Intel Corporation. Active years: 2021.

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Laxmi Vishwanathan: Innovator in Processor Power Optimization

Introduction

Laxmi Vishwanathan is a notable inventor based in Beaverton, OR (US). She has made significant contributions to the field of technology, particularly in optimizing processor power and cooling systems. Her innovative approach has led to advancements that enhance the efficiency of processors in various applications.

Latest Patents

Laxmi holds 1 patent for her work on processor power optimization in terms of system cooling overhead. This patent describes systems, apparatuses, and methods that determine an efficient temperature for a processor based on real-time data and specific parameters associated with the processor. The technology also calculates power differences between various temperatures and the efficient temperature, storing these differences in a register. In practical applications, a cooling subsystem can be controlled based on the power differences stored in the register.

Career Highlights

Laxmi Vishwanathan is currently employed at Intel Corporation, where she continues to push the boundaries of technology. Her work at Intel has positioned her as a key player in the development of innovative solutions that address the challenges of processor efficiency and cooling.

Collaborations

Laxmi collaborates with her coworker, Benson D Inkley, who is also involved in advancing technology within the company. Their partnership exemplifies the collaborative spirit that drives innovation at Intel.

Conclusion

Laxmi Vishwanathan's contributions to processor power optimization highlight her role as a leading inventor in the technology sector. Her innovative solutions not only improve processor efficiency but also pave the way for future advancements in the field.

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