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ORCIDDeepti Raghavan
Person information
- affiliation: Stanford University, USA
- affiliation (former): Massachusetts Institute of Technolog, USA
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Journal Articles
- 2022
[j2]Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein
:
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs. ACM Trans. Graph. 41(4): 76:1-76:12 (2022)- 2020
- [j1]Deepti Raghavan, Sadjad Fouladi, Philip Alexander Levis, Matei Zaharia:
Posh: A Data-Aware Shell. login Usenix Mag. 45(4) (2020)
Conference and Workshop Papers
- 2024
- [c10]Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys 2024: 117-125 - 2023
- [c9]Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang:
Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking. SOSP 2023: 200-215 - 2021
- [c8]Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia:
Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access. SoCC 2021: 654-669 - [c7]Deepti Raghavan, Philip Alexander Levis, Matei Zaharia, Irene Zhang:
Breakfast of champions: towards zero-copy serialization with NIC scatter-gather. HotOS 2021: 199-205 - 2020
- [c6]Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia:
Model Assertions for Monitoring and Improving ML Models. MLSys 2020 - [c5]Deepti Raghavan, Sadjad Fouladi, Philip Alexander Levis, Matei Zaharia:
POSH: A Data-Aware Shell. USENIX Annual Technical Conference 2020: 617-631 - 2018
- [c4]Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Restructuring Endpoint Congestion Control. ANRW 2018: 25 - [c3]Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. ANRW 2018: 75 - [c2]Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Restructuring endpoint congestion control. SIGCOMM 2018: 30-43 - [c1]Francis Y. Yan, Jestin Ma, Greg D. Hill, Deepti Raghavan, Riad S. Wahby, Philip Alexander Levis, Keith Winstein:
Pantheon: the training ground for Internet congestion-control research. USENIX Annual Technical Conference 2018: 731-743
Informal and Other Publications
- 2024
- [i3]Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia:
ALTO: An Efficient Network Orchestrator for Compound AI Systems. CoRR abs/2403.04311 (2024) - 2020
- [i2]Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia:
Model Assertions for Monitoring and Improving ML Models. CoRR abs/2003.01668 (2020) - 2018
- [i1]Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. CoRR abs/1802.08730 (2018)
Coauthor Index
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