CleanOS: Limiting Mobile Data Exposure with Idle Eviction. - Yang Tang; Phillip Ames; Sravan Bhamidipati; Ashish Bijlani; Roxana Geambasu; Nikhil Sarda (OSDI, 2012)

Chronicler: lightweight recording to reproduce field failures. - Jonathan Bell 001; Nikhil Sarda; Gail E. Kaiser (ICSE, 2013)

Predicted Variables in Programming. - Victor Carbune; Thierry Coppey; Alexander N. Daryin; Thomas Deselaers; Nikhil Sarda; Jay Yagnik (CoRR, 2018)

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. - Phitchaya Mangpo Phothilimthana; Amit Sabne; Nikhil Sarda; Karthik Srinivasa Murthy; Yanqi Zhou; Christof Angermueller; Mike Burrows; Sudip Roy 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

SmartChoices: Augmenting Software with Learned Implementations. - Daniel Golovin; Gábor Bartók; Eric Chen; Emily Donahue; Tzu-Kuo Huang; Efi Kokiopoulou; Ruoyan Qin; Nikhil Sarda; Justin Sybrandt; Vincent Tjeng (CoRR, 2023)

Prompt Cache: Modular Attention Reuse for Low-Latency Inference. - In Gim; Guojun Chen; Seung-Seob Lee; Nikhil Sarda; Anurag Khandelwal; Lin Zhong 001 (MLSys, 2024)

PAIGE: Examining Learning Outcomes and Experiences with Personalized AI-Generated Educational Podcasts. - Tiffany D. Do; Usama Bin Shafqat; Elsie Ling; Nikhil Sarda (CHI, 2025)

EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation. - Yifan Yu; Yu Gan; Lillian Tsai; Nikhil Sarda; Jiaming Shen; Yanqi Zhou; Arvind Krishnamurthy; Fan Lai 001; Henry M. Levy; David E. Culler (CoRR, 2025)