Bhargav S. Gulavani

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 9

Top Topics

Top Venues

ACM Trans. Storage

Publications

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 (2024)
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)
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 (2024)
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)
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)
Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills. CoRR (2023)
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 (2022)
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) (2020)
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)
Bhargav S. Gulavani, Supratik Chakraborty, G. Ramalingam, Aditya V. Nori
Bottom-up shape analysis using LISF. ACM Trans. Program. Lang. Syst. 33 (5) (2011)
Bhargav S. Gulavani, Supratik Chakraborty, Aditya V. Nori, Sriram K. Rajamani
Refining abstract interpretations. Inf. Process. Lett. 110 (16) (2010)
Bhargav S. Gulavani, Supratik Chakraborty, Ganesan Ramalingam, Aditya V. Nori
Bottom-Up Shape Analysis. SAS (2009)
Bhargav S. Gulavani, Sumit Gulwani
A Numerical Abstract Domain Based on Expression Abstraction and Max Operator with Application in Timing Analysis. CAV (2008)
Bhargav S. Gulavani, Supratik Chakraborty, Aditya V. Nori, Sriram K. Rajamani
Automatically Refining Abstract Interpretations. TACAS (2008)
Bhargav S. Gulavani, Thomas A. Henzinger, Yamini Kannan, Aditya V. Nori, Sriram K. Rajamani
SYNERGY: a new algorithm for property checking. SIGSOFT FSE (2006)
Bhargav S. Gulavani, Sriram K. Rajamani
Counterexample Driven Refinement for Abstract Interpretation. TACAS (2006)