Ann Arbor, MI, United States of America

David Thomas Manville


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: The Innovations of David Thomas Manville in Branch Prediction Technology

Introduction

David Thomas Manville is an accomplished inventor based in Ann Arbor, MI, who has made significant contributions to the field of data processing systems. With one patent to his name, he has focused on enhancing the efficiency and effectiveness of branch prediction mechanisms, which are crucial for optimizing program flow in computing applications.

Latest Patents

David's noteworthy patent, titled "Next Branch Table for Use with a Branch Predictor," revolutionizes how branch prediction operations are performed in data processing systems. This invention introduces branch prediction circuitry that stores data identifying the address of the next branch instruction, enabling predictions to commence earlier than typical processes allow. By supplying this address to the branch prediction circuitry before the instruction decoder identifies it, the system enhances efficiency, allowing for seamless program execution.

Career Highlights

Currently, David Thomas Manville works at the University of Michigan, where his expertise in data processing and innovations in computing technology have positioned him as a valuable member of the research community. His academic background and practical experience enrich the ongoing developments in the realm of computational efficiency.

Collaborations

Among his colleagues is Trevor N. Mudge, with whom David collaborates on various research initiatives. Their combined efforts contribute significantly to advancements in computing technologies and branch prediction methods, fostering an environment of innovation at the University of Michigan.

Conclusion

David Thomas Manville exemplifies the impact of inventive contributions to technology through his significant work in branch prediction systems. His patent not only reflects his expertise but also emphasizes the importance of continual innovation within the field of data processing, ensuring that computing technologies advance in efficiency and effectiveness.

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