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ORCIDBhargav S. Gulavani
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2020 – today
- 2024
[c9]Tanmaey Gupta
, Sanjeev Krishnan, Rituraj Kumar, Abhishek Vijeev, Bhargav S. Gulavani, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures. EuroSys 2024: 1110-1125- [c8]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
VIDUR: A Large-Scale Simulation Framework for LLM Inference. MLSys 2024 - [c7]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. OSDI 2024: 117-134 - [i4]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. CoRR abs/2403.02310 (2024) - [i3]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
Vidur: A Large-Scale Simulation Framework For LLM Inference. CoRR abs/2405.05465 (2024) - 2023
- [i2]Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee:
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills. CoRR abs/2308.16369 (2023) - 2022
- [i1]Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav S. Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich:
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads. CoRR abs/2202.07848 (2022) - 2020
- [j3]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. ACM Trans. Storage 15(4): 23:1-23:30 (2020)
2010 – 2019
- 2019
- [c6]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. FAST 2019: 235-248 - 2011
- [j2]Bhargav S. Gulavani, Supratik Chakraborty, G. Ramalingam, Aditya V. Nori:
Bottom-up shape analysis using LISF. ACM Trans. Program. Lang. Syst. 33(5): 17:1-17:41 (2011) - 2010
- [j1]Bhargav S. Gulavani, Supratik Chakraborty, Aditya V. Nori, Sriram K. Rajamani:
Refining abstract interpretations. Inf. Process. Lett. 110(16): 666-671 (2010)
2000 – 2009
- 2009
- [c5]Bhargav S. Gulavani, Supratik Chakraborty, Ganesan Ramalingam, Aditya V. Nori:
Bottom-Up Shape Analysis. SAS 2009: 188-204 - 2008
- [c4]Bhargav S. Gulavani, Sumit Gulwani:
A Numerical Abstract Domain Based on Expression Abstraction and Max Operator with Application in Timing Analysis. CAV 2008: 370-384 - [c3]Bhargav S. Gulavani, Supratik Chakraborty, Aditya V. Nori, Sriram K. Rajamani:
Automatically Refining Abstract Interpretations. TACAS 2008: 443-458 - 2006
- [c2]Bhargav S. Gulavani, Thomas A. Henzinger, Yamini Kannan, Aditya V. Nori, Sriram K. Rajamani:
SYNERGY: a new algorithm for property checking. SIGSOFT FSE 2006: 117-127 - [c1]Bhargav S. Gulavani, Sriram K. Rajamani:
Counterexample Driven Refinement for Abstract Interpretation. TACAS 2006: 474-488
Coauthor Index
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