Deepti Raghavan

According to our database, Deepti Raghavan authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Making Prompts First-Class Citizens for Adaptive LLM Pipelines.

Ugur Çetintemel, Shu Chen, Alexander W. Lee, Deepti Raghavan

CoRR, August, 2025

Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems.

Alexander W. Lee, Justin Chan, Michael Fu, Nicolas Kim, Akshay Mehta, Deepti Raghavan, Ugur Çetintemel

Proc. VLDB Endow., July, 2025

2024

ALTO: An Efficient Network Orchestrator for Compound AI Systems.

Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

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 Alexander Levis, Matei Zaharia, Irene Zhang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2022

R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs.

Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein

ACM Trans. Graph., 2022

2021

Breakfast of champions: towards zero-copy serialization with NIC scatter-gather.

Deepti Raghavan, Philip Alexander Levis, Matei Zaharia, Irene Zhang

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access.

Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

POSH: A Data-Aware Shell.

Deepti Raghavan, Sadjad Fouladi, Philip Alexander Levis, Matei Zaharia

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Model Assertions for Monitoring and Improving ML Models.

Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2018

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

Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Alexander Levis, Keith Winstein

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Restructuring Endpoint Congestion Control.

Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan

Proceedings of the Applied Networking Research Workshop, 2018

Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control.

Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan

Proceedings of the Applied Networking Research Workshop, 2018