This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2001.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2001
Title: Günter Gerwig: Innovator in Floating Point Arithmetic
Introduction
Günter Gerwig is a notable inventor based in Simmozheim, Germany. He has made significant contributions to the field of data processing systems, particularly in the area of floating point arithmetic. His innovative approach has led to advancements that enhance the efficiency of data processing.
Latest Patents
Günter Gerwig holds a patent for a "Method and system for immediate exponent normalization in a fast floating point adder." This invention proposes a method and system that utilizes the Input Exponent early in the subblocks of the mantissa addition. By generating parts of the potential exponent result early in the cycle, the invention reduces the number of required logic gates in the timing-critical path. This improvement allows for a faster cycle time, reduced latency, and the ability to perform more complex functions. The method can be applied to adders of varying mantissa and exponent widths, as well as powers of radix 2.
Career Highlights
Günter Gerwig is associated with the International Business Machines Corporation (IBM), where he has contributed to various projects that leverage his expertise in data processing. His work has been instrumental in developing systems that optimize performance and efficiency in computing.
Collaborations
Throughout his career, Günter has collaborated with notable colleagues, including Klaus Jörg Getzlaff and Michael Kröner. These collaborations have fostered an environment of innovation and have led to the development of advanced technologies in the field.
Conclusion
Günter Gerwig's contributions to floating point arithmetic and data processing systems exemplify the impact of innovative thinking in technology. His patent and work at IBM highlight the importance of advancements in computing efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
