This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignees: Pmc-Sierra, Inc., Pmc-Sierra US, Inc.. Active years: 2003-2006.
Company Filing History:
Years Active: 2003-2006
Title: Ajit Shelat: Innovator in Data Processing Technologies
Introduction
Ajit Shelat is a prominent inventor based in Pune, India, known for his contributions to data processing technologies. With a total of 4 patents, he has made significant advancements in the field, particularly in efficient data look-up methods and parallel processing systems.
Latest Patents
One of Ajit Shelat's latest patents is titled "Fast, deterministic exact match look-ups in large tables." This invention utilizes a combined hash table and bucket trie technique to facilitate fast and memory-efficient exact match look-ups on extremely large tables. The method allows for a limited number of hash keys that collide at the same location to be stored in the hash table. If additional keys collide, a bucket trie is formed to store the colliding keys, enabling efficient key comparisons.
Another notable patent is "Parallel string pattern searches in respective ones of an array of nanocomputers." This high-speed parallel pattern searching system allows for the body of a data packet to be searched for one or more patterns, such as strings defined by regular expressions. The invention involves loading patterns into nanocomputers that operate in parallel, allowing for complex searches to be performed efficiently.
Career Highlights
Ajit Shelat has worked with several notable companies, including PMC-Sierra, Inc. and PMC-Sierra US, Inc. His experience in these organizations has contributed to his expertise in developing innovative data processing solutions.
Collaborations
Throughout his career, Ajit has collaborated with talented individuals such as Sundar Iyer and Vikram Chopra. These collaborations have likely enriched his work and led to further advancements in his field.
Conclusion
Ajit Shelat's innovative contributions to data processing technologies demonstrate his expertise and commitment to advancing the field. His patents reflect a deep understanding of efficient data management and processing techniques.