Company Filing History:
2 out of 832,891 Years Active: 2003-2004
Title: So Yamada: Innovator in Parallel Computing
Introduction
So Yamada is a notable inventor based in Nakai-machi, Japan. He has made significant contributions to the field of parallel computing, with a focus on enhancing computational efficiency and precision. His innovative approaches have led to the development of two patents that address complex computational challenges.
Latest Patents
Yamada's latest patents include a "Method and apparatus for parallel processing" and a "Parallel computer system and parallel computing method." The first patent describes a method for calculating molecular orbitals efficiently, minimizing communication overhead between a host computer and processor elements. This method allows for the calculation of all elements of a Fock matrix through a series of nested loops, optimizing the process for contracted shells. The second patent presents a parallel computing method that enables high-precision calculations without requiring extensive hardware. It involves a host processor connected to multiple special-purpose processors, facilitating efficient data conversion and maintaining high calculation speeds.
Career Highlights
Throughout his career, So Yamada has demonstrated a commitment to advancing computational technologies. His work has been instrumental in developing methods that enhance the performance of parallel computing systems. His innovative solutions have garnered attention in the research community and have practical applications in various scientific fields.
Collaborations
Yamada has collaborated with notable colleagues, including Shinjiro Inabata and Nobuaki Miyakawa. These partnerships have contributed to the development of his patents and have fostered a collaborative environment for innovation.
Conclusion
So Yamada's contributions to parallel computing exemplify the impact of innovative thinking in technology. His patents reflect a deep understanding of computational processes and a commitment to improving efficiency in complex calculations. His work continues to influence the field and inspire future advancements.