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Books and Theses
- 2011
[b1]Nipun Kwatra:
Practical methods for simulation of compressible flow and structure interactions. Stanford University, USA, 2011
Journal Articles
- 2023
- [j10]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. J. Mach. Learn. Res. 24: 65:1-65:37 (2023) - 2022
- [j9]Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain:
Towards Automating Retinoscopy for Refractive Error Diagnosis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 97:1-97:26 (2022) - 2021
- [j8]Siddhartha Gairola, Murtuza Bohra, Nadeem Shaheer, Navya Jayaprakash, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 155:1-155:27 (2021) - 2011
- [j7]Craig A. Schroeder, Nipun Kwatra, Zheng Wen, Ronald Fedkiw:
Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration. Comput. Graph. Forum 30(7): 1983-1992 (2011) - [j6]Jón Tómas Grétarsson, Nipun Kwatra, Ronald Fedkiw:
Numerically stable fluid-structure interactions between compressible flow and solid structures. J. Comput. Phys. 230(8): 3062-3084 (2011) - 2010
- [j5]Nipun Kwatra, Christopher Wojtan
, Mark Carlson, Irfan A. Essa, Peter J. Mucha, Greg Turk:
Fluid Simulation with Articulated Bodies. IEEE Trans. Vis. Comput. Graph. 16(1): 70-80 (2010) - 2009
- [j4]Nipun Kwatra, Jonathan Su, Jón Tómas Grétarsson, Ronald Fedkiw:
A method for avoiding the acoustic time step restriction in compressible flow. J. Comput. Phys. 228(11): 4146-4161 (2009) - 2008
- [j3]Frank Losasso, Jerry O. Talton, Nipun Kwatra, Ronald Fedkiw:
Two-Way Coupled SPH and Particle Level Set Fluid Simulation. IEEE Trans. Vis. Comput. Graph. 14(4): 797-804 (2008) - 2007
- [j2]Vivek Kwatra, David Adalsteinsson, Theodore Kim, Nipun Kwatra, Mark Carlson, Ming C. Lin:
Texturing Fluids. IEEE Trans. Vis. Comput. Graph. 13(5): 939-952 (2007) - 2005
- [j1]Vivek Kwatra, Irfan A. Essa, Aaron F. Bobick, Nipun Kwatra:
Texture optimization for example-based synthesis. ACM Trans. Graph. 24(3): 795-802 (2005)
Conference and Workshop Papers
- 2024
- [c13]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 - [c12]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 - [c11]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 - 2023
- [c10]Karthik S. Bhat, Neha Kumar, Karthik Shamanna, Nipun Kwatra, Mohit Jain:
Towards Intermediated Workflows for Hybrid Telemedicine. CHI 2023: 347:1-347:17 - 2022
- [c9]Siddhartha Gairola, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
Keratoconus Classifier for Smartphone-based Corneal Topographer. EMBC 2022: 1875-1878 - [c8]Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra:
Varuna: scalable, low-cost training of massive deep learning models. EuroSys 2022: 472-487 - 2021
- [c7]Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain:
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting. EMBC 2021: 527-530 - 2020
- [c6]Shubham Chaudhary, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Srinidhi Viswanatha:
Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning. EuroSys 2020: 1:1-1:16 - [c5]Divam Gupta, Ramachandran Ramjee, Nipun Kwatra, Muthian Sivathanu:
Unsupervised Clustering using Pseudo-semi-supervised Learning. ICLR 2020 - 2018
- [c4]Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou:
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI 2018: 595-610 - 2010
- [c3]Nipun Kwatra, Jon Gretarsson, Ronald Fedkiw:
Practical Animation of Compressible Flow for ShockWaves and Related Phenomena. Symposium on Computer Animation 2010: 207-215 - 2006
- [c2]Vivek Kwatra, David Adalsteinsson, Nipun Kwatra, Mark Carlson, Ming C. Lin:
Texturing fluids. SIGGRAPH Sketches 2006: 63 - 2004
- [c1]Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee:
A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP 2004: 15-21
Informal and Other Publications
- 2024
- [i16]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) - [i15]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) - [i14]Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov:
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR abs/2407.07000 (2024) - [i13]Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee:
Accuracy is Not All You Need. CoRR abs/2407.09141 (2024) - 2023
- [i12]Suril Mehta, Nipun Kwatra, Mohit Jain, Daniel McDuff:
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis. CoRR abs/2304.14916 (2023) - [i11]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
- [i10]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) - [i9]Siddhartha Gairola, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
Keratoconus Classifier for Smartphone-based Corneal Topographer. CoRR abs/2205.03702 (2022) - [i8]Aditya Chetan, Nipun Kwatra:
Distance Learner: Incorporating Manifold Prior to Model Training. CoRR abs/2207.06888 (2022) - [i7]Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain:
Towards Automating Retinoscopy for Refractive Error Diagnosis. CoRR abs/2208.05552 (2022) - 2021
- [i6]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
LRTuner: A Learning Rate Tuner for Deep Neural Networks. CoRR abs/2105.14526 (2021) - [i5]Siddhartha Gairola, Murtuza Bohra, Nadeem Shaheer, Navya Jayaprakash, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain:
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection. CoRR abs/2111.01354 (2021) - [i4]Sanjith Athlur, Nitika Saran, Muthian Sivathanu, Ramachandran Ramjee, Nipun Kwatra:
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models. CoRR abs/2111.04007 (2021) - 2020
- [i3]Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. CoRR abs/2003.03977 (2020) - [i2]Arunava Chakraborty, Rahul Ragesh, Mahir Shah, Nipun Kwatra:
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels. CoRR abs/2010.12622 (2020) - [i1]Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain:
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting. CoRR abs/2011.00196 (2020)
Coauthor Index
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