This inventor holds 5 USPTO granted patents. Top assignee: Samsung Electronics Co., Ltd.. Active years: 1998-2000.
Company Filing History:
Years Active: 1998-2000
Title: Innovations of Shao-Kun Jiang
Introduction
Shao-Kun Jiang is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of computational structures and floating-point units. With a total of 5 patents, his work has advanced the capabilities of video encoding and arithmetic operations.
Latest Patents
One of his latest patents is a computational structure having multiple stages. This modular computational structure includes a pipeline with first and second adder stages. Each adder stage features a pair of adders that operate in parallel, allowing for complex arithmetic functions suitable for video encoding. The operations include completion of multiply and multiply-and-accumulate operations, averages of two values, averages of four values, and merged difference and absolute value calculation. Another notable patent is the combined leading one and leading zero anticipator. This floating-point unit processes normalized binary numbers and performs calculations using the format (A*B)+C or (A*B)-C. The design allows for parallel processing of multiplication and alignment of operands, enhancing efficiency in arithmetic operations.
Career Highlights
Shao-Kun Jiang is currently employed at Samsung Electronics Co., Ltd. His innovative work has positioned him as a key figure in the development of advanced computational technologies. His patents reflect a deep understanding of both hardware and software integration in modern computing.
Collaborations
He has collaborated with notable coworkers such as Roney S Wong and Seungyoon Peter-Song. Their combined expertise has contributed to the successful development of cutting-edge technologies in their field.
Conclusion
Shao-Kun Jiang's contributions to the field of computational structures and floating-point units demonstrate his innovative spirit and technical expertise. His patents continue to influence advancements in video encoding and arithmetic processing.
