San Jose, CA, United States of America

Georgios Konstadinidis

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Innovations of Georgios Konstadinidis

Introduction

Georgios Konstadinidis is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in the areas of accelerator systems and machine learning applications. With a total of two patents to his name, his work reflects a commitment to advancing technological efficiency and performance.

Latest Patents

Konstadinidis's latest patents include a method and system for controlling performance in large-scale accelerator systems. This innovation focuses on optimizing the performance of workloads partitioned among multiple accelerator chips in a multi-chip system. The system utilizes performance speed data to identify overworked or underworked portions of the workload, allowing for adjustments to enhance efficiency.

Another notable patent is a hardware-implemented hybrid analog-digital mixed-mode matrix multiply-add processing element designed for machine learning applications. This technology employs Fin Field-Effect Transistors (FinFETs) to achieve excellent sub-threshold operation, thereby reducing power requirements. The design emphasizes accuracy and efficiency, making it suitable for various machine learning tasks.

Career Highlights

Throughout his career, Konstadinidis has worked with prominent companies such as Google Inc. and Oracle International Corporation. His experience in these leading tech firms has undoubtedly influenced his innovative approach to problem-solving and technology development.

Collaborations

Some of his notable coworkers include Michael David Hutton and Lluis-Miquel Munguia. Their collaboration has likely contributed to the success of his projects and patents.

Conclusion

Georgios Konstadinidis stands out as a significant figure in the realm of technology innovation. His patents reflect a deep understanding of complex systems and a drive to enhance performance in critical applications. His contributions continue to shape the future of technology.

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