Poughkeepsie, NY, United States of America

Matthias D Heizmann


Average Co-Inventor Count = 4.2

ph-index = 3

Forward Citations = 82(Granted Patents)


Company Filing History:


Years Active: 2016-2020

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):

Title: The Innovative Work of Matthias D. Heizmann

Introduction

Matthias D. Heizmann is a prominent inventor located in Poughkeepsie, NY, with an impressive portfolio of 15 patents to his name. His work primarily revolves around advancing technology in the area of branch prediction, demonstrating his expertise and contribution to the field of computer engineering.

Latest Patents

One of Matthias D. Heizmann's latest patents focuses on "Branch prediction using multi-way pattern history table (PHT) and global path vector (GPV)." The invention details a method where branch prediction logic interacts with a PHT indexed by a GPV. Key aspects of this patent include the ability to receive a search address by branch prediction logic and simultaneously determine branch predictions based on PHT. The logic is designed to update the GPV based on taken predictions, optimizing the accuracy of branch predictions in computational processes.

Career Highlights

Heizmann's career is marked by his association with the International Business Machines Corporation (IBM), where he has made significant contributions to innovative computing solutions. His work emphasizes the importance of predictive algorithms in enhancing processor efficiency and functionality.

Collaborations

Throughout his career, Matthias has collaborated with talented individuals such as Jatin Bhartia and James J. Bonanno. These collaborations have further enriched his projects and led to advancements in their collective areas of expertise.

Conclusion

Matthias D. Heizmann is a notable figure in the realm of technology innovation, with his patents paving the way for improved computational accuracy and efficiency. His role at IBM, along with successful collaborations, positions him as a significant contributor to the field of branch prediction and computational technology.

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