Austin, TX, United States of America

Paul B Mann


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 35(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: The Innovations of Paul B Mann

Introduction

Paul B Mann is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of programming languages and optimization techniques. His work primarily focuses on methods that enhance the efficiency of compiling source code into vector instructions.

Latest Patents

One of Mann's key patents is titled "Method for generating optimized vector instructions from high level programming languages." This innovative method involves compiling source code to produce vector instructions, ensuring that parallel operands are placed in adjacent memory locations. The technique minimizes the realignment of operands, which is crucial for optimizing performance. One embodiment of this patent generates two-element vector instructions from generalized source instructions. The memory locations are assigned based on the selected operations for parallel execution, allowing for efficient data processing. Additionally, the patent describes a software program, such as a vectorizing compiler, that analyzes program code and generates vectorized code according to the outlined method.

Career Highlights

Mann is currently employed at Advanced Micro Devices Corporation, where he continues to develop and refine his innovative ideas. His work at AMD has positioned him as a key player in the advancement of computing technologies.

Collaborations

Throughout his career, Mann has collaborated with talented individuals such as Gwangwoo “Johnny” Choe and James R MacDonald. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies.

Conclusion

Paul B Mann's contributions to the field of programming languages and optimization techniques are noteworthy. His innovative patent demonstrates his commitment to enhancing computational efficiency. Mann's work continues to influence the industry and inspire future advancements in technology.

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