Company Filing History:
Years Active: 2016-2025
Title: Sureshkumar Govindaraj: Innovator in Memory Systems and Networking
Introduction
Sureshkumar Govindaraj is a prominent inventor based in Irving, Texas. He has made significant contributions to the fields of memory systems and networking, holding a total of eight patents. His innovative work has had a substantial impact on technology and data processing.
Latest Patents
Among his latest patents is the "Pseudo-first in, first out (FIFO) tag line replacement." This method involves searching tags in a tag group within a tagged memory system for an available tag line during a clock cycle. The system comprises multiple tag lines with respective tags, divided into non-overlapping tag groups. If an available tag line is not found, the method continues searching in the next tag group during the subsequent clock cycle.
Another notable patent is "Superimposing butterfly network controls for pattern combinations." This invention showcases a multilayer butterfly network capable of transforming and aligning multiple fields from an input to an output data stream. The network allows for various transformations, including separate control of each multiplexer. The design supports a limited set of multiplexer control signals, which simplifies the complexity of the control circuits while maintaining efficiency.
Career Highlights
Sureshkumar Govindaraj is currently employed at Texas Instruments Corporation, where he continues to innovate and develop new technologies. His work at the company has positioned him as a key player in advancing memory systems and networking solutions.
Collaborations
He has collaborated with notable coworkers, including Dheera Balasubramanian and Joseph R Zbiciak. Their combined expertise has contributed to the success of various projects and innovations within the company.
Conclusion
Sureshkumar Govindaraj is a distinguished inventor whose contributions to technology are evident through his patents and work at Texas Instruments Corporation. His innovative methods in memory systems and networking continue to shape the future of data processing.