Swapnil Gandhi

Orcid: 0000-0003-3689-9591

According to our database1, Swapnil Gandhi authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Sieve: Dynamic Expert-Aware PIM Acceleration for Evolving Mixture-of-Experts Models.
CoRR, May, 2026

Regulating Branch Parallelism in LLM Serving.
CoRR, May, 2026

SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling.
Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Sparse Checkpointing for Fast and Reliable MoE Training.
Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025
FailSafe: High-performance Resilient Serving.
CoRR, November, 2025

Accelerating Mixture-of-Experts Training with Adaptive Expert Replication.
CoRR, April, 2025

2024
MoEtion: Efficient and Reliable Checkpointing for Mixture-of-Experts Models at Scale.
CoRR, 2024

SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures.
CoRR, 2024

Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation.
Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation.
Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

2022
Maintaining Social Distancing in Pandemic Using Smartphones With Acoustic Waves.
IEEE Trans. Comput. Soc. Syst., 2022

2021
P3: Distributed Deep Graph Learning at Scale.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020
An Interval-centric Model for Distributed Computing over Temporal Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020


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