Company Filing History:
Years Active: 2018
Title: The Innovations of Iyappan Subramanian
Introduction
Iyappan Subramanian is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of computing, particularly in the area of data processing systems. With a total of 2 patents to his name, Subramanian's work focuses on enhancing the efficiency of multi-queue processing systems.
Latest Patents
One of Iyappan Subramanian's latest patents is a "Multiple-queue integer coalescing mapping algorithm with shared based time." This innovative mapping technique sets coalescing latency values for computing systems that utilize multiple data queues with a shared base timer. The system includes at least one receive queue and one transmit queue, which receives user-provided coalescing latency values. These values are converted into coalescing latency hardware register values and a base timer register value for the shared base timer. The hardware register values, along with the shared base timer register value, determine the coalescing latencies for the respective queues. This technique allows users to conveniently set coalescing latencies for multi-queue processing systems while shielding them from hardware complexity.
Career Highlights
Iyappan Subramanian is currently employed at Ampere Computing LLC, where he continues to innovate and develop advanced computing solutions. His work at Ampere Computing has positioned him as a key player in the field of technology, contributing to the company's mission of delivering high-performance computing solutions.
Collaborations
Throughout his career, Subramanian has collaborated with talented individuals such as Shushan Wen and Keyur Chudgar. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Iyappan Subramanian's contributions to the field of computing through his patents and work at Ampere Computing LLC highlight his dedication to innovation. His advancements in multi-queue processing systems are paving the way for more efficient computing solutions.