An Interval-centric Model for Distributed Computing over Temporal Graphs. - Swapnil Gandhi; Yogesh Simmhan (ICDE, 2020)

P3: Distributed Deep Graph Learning at Scale. - Swapnil Gandhi; Anand Padmanabha Iyer (OSDI, 2021)

Maintaining Social Distancing in Pandemic Using Smartphones With Acoustic Waves. - Vaibhav Rupapara; Manideep Narra; Naresh Kumar Gunda; Swapnil Gandhi; Kaushika Reddy Thipparthy (IEEE Trans. Comput. Soc. Syst., 2022)

ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation. - Swapnil Gandhi; Mark Zhao; Athinagoras Skiadopoulos; Christos Kozyrakis (SOSP, 2024)

Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation. - Anand Padmanabha Iyer; Mingyu Guan; Yinwei Dai; Rui Pan 003; Swapnil Gandhi; Ravi Netravali (SOSP, 2024)

SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures. - Swapnil Gandhi; Mark Zhao; Athinagoras Skiadopoulos; Christos Kozyrakis (CoRR, 2024)

MoEtion: Efficient and Reliable Checkpointing for Mixture-of-Experts Models at Scale. - Swapnil Gandhi; Christos Kozyrakis (CoRR, 2024)

Accelerating Mixture-of-Experts Training with Adaptive Expert Replication. - Athinagoras Skiadopoulos; Mark Zhao; Swapnil Gandhi; Thomas Norrie; Shrijeet Mukherjee; Christos Kozyrakis (CoRR, 2025)