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2020 – today
- 2024
[c4]In Gim, Guojun Chen, Seung-Seob Lee, Nikhil Sarda, Anurag Khandelwal, Lin Zhong:
Prompt Cache: Modular Attention Reuse for Low-Latency Inference. MLSys 2024- [i4]Tiffany D. Do
, Usama Bin Shafqat, Elsie Ling, Nikhil Sarda:
PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts. CoRR abs/2409.04645 (2024) - 2023
- [i3]Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng:
SmartChoices: Augmenting Software with Learned Implementations. CoRR abs/2304.13033 (2023) - [i2]In Gim, Guojun Chen, Seung-Seob Lee, Nikhil Sarda, Anurag Khandelwal, Lin Zhong:
Prompt Cache: Modular Attention Reuse for Low-Latency Inference. CoRR abs/2311.04934 (2023) - 2021
- [c3]Phitchaya Mangpo Phothilimthana, Amit Sabne, Nikhil Sarda, Karthik Srinivasa Murthy, Yanqi Zhou, Christof Angermueller, Mike Burrows, Sudip Roy, Ketan Mandke, Rezsa Farahani, Yu Emma Wang, Berkin Ilbeyi, Blake A. Hechtman, Bjarke Roune, Shen Wang, Yuanzhong Xu, Samuel J. Kaufman:
A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. PACT 2021: 1-16
2010 – 2019
- 2018
- [i1]Victor Carbune, Thierry Coppey, Alexander N. Daryin, Thomas Deselaers, Nikhil Sarda, Jay Yagnik:
Predicted Variables in Programming. CoRR abs/1810.00619 (2018) - 2013
- [c2]Jonathan Bell, Nikhil Sarda, Gail E. Kaiser:
Chronicler: lightweight recording to reproduce field failures. ICSE 2013: 362-371 - 2012
- [c1]Yang Tang, Phillip Ames, Sravan Bhamidipati, Ashish Bijlani, Roxana Geambasu, Nikhil Sarda:
CleanOS: Limiting Mobile Data Exposure with Idle Eviction. OSDI 2012: 77-91
Coauthor Index
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