This inventor holds 2 USPTO granted patents. Top assignee: Intel Corporation. Active years: 2019-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2020
Title: Innovations by Santhosh Kumar Rethinagiri
Introduction
Santhosh Kumar Rethinagiri is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of hardware acceleration, particularly in matrix decomposition and matrix-solve applications. With a total of 2 patents, his work focuses on enhancing performance and efficiency in various computational tasks.
Latest Patents
Santhosh's latest patents include innovative systems and methods for hardware-accelerated matrix decomposition. The first patent describes a matrix decomposition circuit that splits operations into parallel and serial circuits, utilizing specific dependency handling logic for efficient execution. This design allows for fast matrix decomposition while minimizing power consumption and memory usage.
The second patent presents a memory-optimized hardware acceleration solution for matrix-solve applications. This scalable architecture enables parallel processing, allowing multiple output values to be computed simultaneously. The low latency and energy-efficient design of this solution is particularly beneficial for applications in computer vision, machine learning, and data analytics.
Career Highlights
Santhosh Kumar Rethinagiri is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies. His work at Intel has positioned him as a key player in the advancement of hardware solutions for complex computational problems.
Collaborations
Santhosh has collaborated with talented individuals such as Gurpreet Singh Kalsi and Om Ji Omer. These collaborations have further enriched his innovative projects and contributed to the success of his patents.
Conclusion
Santhosh Kumar Rethinagiri's contributions to hardware acceleration and matrix-based applications demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of computational challenges and a drive to create solutions that enhance performance across various fields.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
