San Francisco, CA, United States of America

Lluis-Miquel Munguia


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Lluis-Miquel Munguia: Innovator in Accelerator System Optimization

Introduction

Lluis-Miquel Munguia is a notable inventor based in San Francisco, California. He has made significant contributions to the field of technology, particularly in optimizing the performance of accelerator systems. His innovative approach has led to the development of a unique patent that addresses critical challenges in workload management among multi-chip systems.

Latest Patents

Munguia holds a patent for a "Large-scale accelerator system energy performance optimization." This invention presents a method and system for controlling the performance of a workload that is partitioned among multiple accelerator chips in a multi-chip system. The system involves processors that receive performance speed data for each accelerator chip, obtain a model of the partitioned workload, and determine which portions of the workload are overworked or underworked. By adjusting the performance speed of the relevant accelerator chips, the system enhances overall efficiency and performance.

Career Highlights

Currently, Lluis-Miquel Munguia is employed at Google Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on optimizing energy performance in complex systems, which is crucial for improving the efficiency of modern computing.

Collaborations

Munguia collaborates with talented individuals in his field, including Michael David Hutton and Georgios Konstadinidis. These partnerships foster a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Lluis-Miquel Munguia is a prominent inventor whose work in accelerator system optimization has the potential to revolutionize performance management in multi-chip systems. His contributions to technology exemplify the importance of innovation in enhancing efficiency and effectiveness in computing.

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