Raju Rangaswami

Title: Raju Rangaswami: Innovator in Machine Learning and Memory Systems

Introduction

Raju Rangaswami is a prominent inventor based in Miami, FL (US). He has made significant contributions to the field of memory systems and machine learning, holding a total of 5 patents. His innovative work focuses on enhancing data management and processing efficiency in computing systems.

Latest Patents

Raju's latest patents include groundbreaking technologies such as "Machine learning based tiered memory systems and methods." This patent describes systems and methods for dynamically placing data in a hybrid memory structure. The adaptive tiered memory system utilizes machine learning to actively monitor application memory, ensuring that the right data is placed in the appropriate memory tier at the right time. Additionally, he has developed "Non-blocking writes to file data," which introduces techniques for implementing non-blocking writes. This innovation eliminates the fetch-before-write requirement by creating an in-memory patch for updated pages, thereby unblocking the calling process and enhancing overall system performance.

Career Highlights

Raju Rangaswami is currently affiliated with Florida International University, where he continues to advance research in memory systems and machine learning. His work has garnered attention for its practical applications in operating systems and storage devices.

Collaborations

Raju has collaborated with notable colleagues such as Yi Deng and S. Masoud Sadjadi, contributing to a rich environment of innovation and research.

Conclusion

Raju Rangaswami's contributions to machine learning and memory systems exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving data management and processing efficiency, making him a significant figure in his field.