Name: Deepti Raghavan (Ph.D. student)
Personal page:
Email: deeptir at cs dot stanford dot edu
Department: Computer Science
Office: Gates 284


Pantheon: the training ground for Internet congestion-control research.

Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Levis, and Keith Winstein. In Proceedings of the 2018 USENIX Annual Technical Conference (ATC), 2018.

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POSH: A Data-Aware Shell.

Deepti Raghavan, Sadjad Fouladi, Philip Levis, and Matei Zaharia. In Proceedings of the 2020 USENIX Annual Technical Conference (ATC '20), 2020.

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Breakfast of Champions: Towards Zero-Copy Serialization with NIC Scatter-Gather.

Deepti Raghavan, Philip Levis, Matei Zaharia, and Irene Zhang. In Proceedings of the 18th Workshop on Hot Topics in Operating Systems (HotOS XVIII), 2021.

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Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking.

Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Levis, Matei Zaharia, and Irene Zhang. In Proceedings of The 29th ACM Symposium on Operating Systems Principles, 2023.

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ALTO: An Efficient Network Orchestrator for Compound AI Systems.

Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Levis, and Matei Zaharia. In EuroMLSys '24: Proceedings of the 4th Workshop on Machine Learning and Systems, 2024.

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