Oslo, Norway

Thomas Moen


 

Average Co-Inventor Count = 6.2

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Thomas Moen

Introduction

Thomas Moen is a notable inventor based in Oslo, Norway. He has made significant contributions to the field of multiprocessor computing systems. With a total of 4 patents, his work focuses on enhancing cache coherence and scalability in complex computing environments.

Latest Patents

One of his latest inventions is the "Snoop Filter Scalability." This invention relates to a snoop filter device, a node controller, a multicomponent computer system, a computer-implemented method, a data processing system, and a computer-readable storage medium. The aim is to enable improved tracking of a scalable number of cache elements in multiprocessor systems. The invention involves scaling a snoop filter device according to the number of cache elements that it is desirable to track. Another significant invention is the "Snoop Filter Device," which is designed to maintain cache coherence in a multiprocessor computing system. This device connects with multiple cache elements, each comprising a number of cache agents. It includes a plurality of snoop filter storage locations, where each location is mapped to one cache element.

Career Highlights

Throughout his career, Thomas Moen has worked with several prominent companies, including Numascale AS and ABB Research Ltd. His experience in these organizations has contributed to his expertise in the field of computer systems and innovations.

Collaborations

Some of his notable coworkers include Einar Rustad and Helge Simonsen. Their collaboration has likely played a role in the development of his innovative ideas and patents.

Conclusion

Thomas Moen's contributions to the field of multiprocessor computing systems are noteworthy. His inventions, particularly in snoop filter technology, demonstrate his commitment to advancing technology in this area. His work continues to influence the development of scalable computing solutions.

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