Company Filing History:
2 out of 20,290 
2 out of 164,306 
2 out of 5,491 
Years Active: 1997-2007
Title: David P. Burgess: Innovator in Data Processing
Introduction
David P. Burgess, based in Austin, TX, has made significant contributions to the field of data processing through his innovative inventions. With a total of four patents to his name, he has demonstrated a consistent commitment to advancing technology in this area.
Latest Patents
Among his latest innovations is a patent for a data processing system featuring a translation lookaside buffer. This system efficiently translates memory addresses by utilizing processing circuitry that delivers effective addresses to a storage array. Each stored effective address comes with a corresponding pair of a lock bit and a valid bit, allowing for sophisticated management of memory access.
Another notable patent involves interrupt processing in data processing systems. This method optimizes the execution of interrupts by handling conditional store instructions in a timely manner. The ability to invalidate reservations upon receiving notice of a pending interrupt enhances the architectural state of the processor, therefore minimizing interrupt latencies significantly.
Career Highlights
David has a distinguished career, having worked with reputable companies such as Motorola Corporation and International Business Machines Corporation (IBM). His tenure at these organizations has allowed him to apply his innovative thinking to real-world problems, further establishing his reputation as a leading inventor in his field.
Collaborations
Throughout his career, David has collaborated with several notable professionals, including Milton M. Hood, Jr. and Graham R. Murphy. These collaborations have certainly contributed to the innovative outcomes witnessed in his projects, highlighting the importance of teamwork in the realm of invention.
Conclusion
David P. Burgess stands as a prominent figure in the innovation landscape of data processing. His patents and contributions have paved the way for advancements that improve the efficiency and functionality of data systems. His work continues to resonate within the tech sector, inspiring future innovations in data processing technologies.