Sean Wagner

Title: Sean Wagner: Innovator in LU Decomposition Technology

Introduction

Sean Wagner is a notable inventor based in Markham, Canada. He has made significant contributions to the field of computational mathematics, particularly in the area of LU decomposition. With a total of 2 patents to his name, Wagner's work is recognized for its innovative approach to processing input matrices.

Latest Patents

Wagner's latest patent focuses on stream processing for LU decomposition. This invention describes an apparatus and method for LU decomposition of an input matrix, which consists of numerous elements arranged in rows and columns. The apparatus includes a memory with multiple caches and a processor unit that is operatively connected to the memory. This setup allows for the transmission and reception of data between the processor and the memory caches. The processing unit features a hardware circuit designed to process the input matrix column-by-column, effectively decomposing it into a lower triangular matrix L and an upper triangular matrix U. The method involves performing Gaussian eliminations on the matrix columns, incorporating partial pivoting, and selecting pivot elements for each column during processing.

Career Highlights

Sean Wagner is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to further develop his innovative ideas and contribute to advanced technological solutions.

Collaborations

Wagner collaborates with Maysam Mir Ahmadi, a fellow innovator, to enhance their research and development efforts in computational technologies.

Conclusion

Sean Wagner's contributions to LU decomposition technology exemplify the impact of innovative thinking in computational mathematics. His patents reflect a commitment to advancing the field and improving processing techniques.