San Jose, CA, United States of America

Matthijs De Smedt

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Matthijs De Smedt: Innovator in Resource-Constrained Scheduling

Introduction

Matthijs De Smedt is a notable inventor based in San Jose, California. He has made significant contributions to the field of computing, particularly in the area of resource-constrained scheduling. His innovative work has led to the development of a unique programming model that enhances the efficiency of GPU computing.

Latest Patents

Matthijs holds a patent for a "Programming model for resource-constrained scheduling." This technology augments the GPU compute model by providing system-provided data marshalling characteristics of graphics pipelining. The aim is to increase efficiency and reduce overhead in computing processes. The scheduling model he developed is based on scalar counters, such as semaphores, which abstract the availability of hardware resources. This allows for programmatic resource releases, enabling a system scheduler to track the states of these counters to make informed work launch decisions.

Career Highlights

Matthijs is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and computing technology. His work at Nvidia has allowed him to push the boundaries of what is possible in GPU computing. He has been instrumental in developing solutions that address the challenges of resource management in complex computing environments.

Collaborations

Some of Matthijs's coworkers include Yury Y Uralsky and Henry Packard Moreton. Their collaboration has likely contributed to the innovative advancements in the projects they have worked on together.

Conclusion

Matthijs De Smedt is a prominent figure in the realm of computing innovations, particularly in resource-constrained scheduling. His contributions have the potential to significantly enhance the efficiency of GPU computing, making him a valuable asset to Nvidia Corporation and the technology industry as a whole.

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