Raju Rangaswami

Raju Rangaswami

Eminent Scholar Chaired Professor, Knight Foundation School of Computing and Information Sciences

Research

Raju Rangaswami directs the Systems Research Laboratory (SyLab) at Florida International University. Research at SyLab focuses on the building next-generation software systems drawing from the areas of operating systems, distributed systems, memory and storage systems, computer security, and real-time systems. We build systems-level software, libraries, and software toolchains for applications that span web, cloud, and mobile. Here is a list of students who are current/former members of the lab.

Google Scholar Profile

Recent Publications (Full Publication List)

  • Holpaca: Holistic and Adaptable Cache Management for Shared Environments (Paper) José Pedro Peixoto, Alexis Gonzalez, Janki Bhimani, Raju Rangaswami, Cláudia Brito, João Paulo, and Ricardo Macedo Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering (ICPE), May 2026.

  • LATTICE: Efficient In-Memory DNN Model Versioning (Paper) Manoj Pravakar Saha, Ashikee Ghosh, Raju Rangaswami, Yanzhao Wu, and Janki Bhimani Proceedings of the 18th ACM International Systems and Storage (SYSTOR) Conference, September 2025.

  • GitTemporalAI: Leveraging Temporal Knowledge Graphs and LLMs for Multi-Agent Repository Intelligence (Paper) Dongsheng Luo, Raju Rangaswami, Amir Rahmati, and Erez Zadok. Proceedings of the Multi-Agent AI in the Real World (MARW) Workshop at AAAI, March 2025.

  • Individual fairness with group constraints in graph neural networks (Paper) Wang, Zichong, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap, and Wenbin Zhang. Proceedings of the European Conference on Artificial Intelligence (ECAI), October 2024.

  • To Cache or Not to Cache (Paper) Steven Lyons, Jr. and Raju Rangaswami. Algorithms 17(7):301, July 2024.

  • Finding Optimal Non-Datapath Caching Strategies via Network Flow (PDF) Steven Lyons, Raju Rangaswami, and Ning Xie. Theoretical Computer Science, January 2023.

  • FAB Storage for the Hybrid Cloud (PDF) Raju Rangaswami Proceedings of the International Conference on Networking, Architecture, and Storage (NAS)}, October 2022.

  • Infusing Pub-Sub Storage with Transactions (PDF) Liana V. Rodriguez, John Bent, Tim Shaffer, and Raju Rangaswami. Proceedings of the USENIX Workshop on Hot Topics in Storage Systems (HotStorage), June 2022.

  • MULTI-CLOCK: Dynamic Tiering for Hybrid Memory Systems (PDF) Adnan Maruf, Ashikee Ghosh, Janki Bhimani, Daniel Campello, Andy Rudoff, and Raju Rangaswami. Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022.

  • Unifying the Data Center Caching Layer - Feasible? Profitable? (PDF) Liana V. Rodriguez, Alexis Gonzales, Pratik Poudel, Raju Rangaswami, and Jason Liu. Proceedings of the USENIX Workshop on Hot Topics in Storage Systems (HotStorage), June 2021.

  • Learning Cache Replacement with CACHEUS (PDF) Liana Valdes, Farzana Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, and Giri Narasimhan. Proceedings of the USENIX Conference on File and Storage Technologies, February 2021.

Recent Talks (Full Talk List)

  • FAB Storage for the Hybrid Cloud, IEEE International Conference on Networking, Architecture and Storage (NAS), October 2022 - Invited Talk
  • ML for Systems and Systems for ML, International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS) 2021, December 2021 - Plenary Speaker
  • Caching Cloud Storage, IBM Distinguished Speaker Series on Systems and Cloud, October 2021 - Distinguished Lecture
  • Programming Abstractions for Persistent Memory, Intel Corporation, Hillsboro, OR, May 2015. - Invited Talk
  • Writes: The Next Performance Barrier, Nutanix, Inc. San Jose, CA, February 2015. - Invited Talk