This inventor holds 3 USPTO granted patents. Top assignee: Advanced Micro Devices Corporation. Active years: 1986-1987.
Company Filing History:
Years Active: 1986-1987
Title: John Drew: Innovator in Data Transfer and Error Detection
Introduction
John Drew is a notable inventor based in Los Gatos, California. He has made significant contributions to the field of data transfer and error detection technologies. With a total of 3 patents to his name, Drew has demonstrated his expertise and innovative spirit in the tech industry.
Latest Patents
Drew's latest patents include a method and apparatus for transferring data between a disk and a central processing unit (CPU). This invention involves a pair of toggling header buffers and data buffers, allowing for efficient data transfer. The design ensures that data can be checked for errors while simultaneously preparing the next sector for transfer. This innovation enables all sectors in a track on a disk to be transferred within a single revolution of the disk.
Another significant patent by Drew focuses on error detection and correction in systems. This method generates a checksum and a syndrome for detecting errors in a series of bytes. It utilizes a network of exclusive OR gates and memory stages to identify single and double burst errors effectively. This technology is crucial for maintaining data integrity in various applications.
Career Highlights
John Drew is currently employed at Advanced Micro Devices Corporation, a leading company in the semiconductor industry. His work at AMD has allowed him to apply his innovative ideas in a practical setting, contributing to the advancement of technology.
Collaborations
Drew has collaborated with notable coworkers such as Mark S Young and Michael C Shebanow. Their combined expertise has likely fostered an environment of innovation and creativity within their projects.
Conclusion
John Drew's contributions to data transfer and error detection technologies highlight his role as a significant inventor in the tech industry. His patents reflect a commitment to improving data processing efficiency and reliability.