I am a Research Fellow at Microsoft Research India, where I work with Anand Iyer on software systems for machine learning.
Previously, I obtained my Masters (by Research) in Computer and Data Systems from the Indian Institute of Science (IISc), where I was advised by Yogesh Simmhan.
· [April 2022] Serving on OSDI 2022 Artifact Evaluation Committee
· [October 2021] Serving on EuroSys 2022 Shadow PC committee
· [July 2021] Joined Microsoft Research India as a Research Fellow. Looking forward to my time here 🎇
· [March 2021] Our work on training GNNs at scale is accepted to OSDI 2021! 🎉
· [May 2020] Successfully defended M.Tech.(Research) Thesis. 🎓 🗞 🙌 🥳
· [April 2020] Our work on distributed temporal graph processing is accepted to ICDE 2020 🎊
1. P3: Distributed Deep Graph Learning at Scale July 2021
Swapnil Gandhi and Anand Iyer
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2021
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Video
Slides
2. An Interval-centric Model for Distributed Computing over Temporal Graphs April 2020
Swapnil Gandhi and Yogesh Simmhan
IEEE 36th International Conference on Data Engineering (ICDE) in Dalas, Texas 2020
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Video
Slides
IEEE Xplore
Code
Distributed Programming Abstraction for Scalable Processing of Temporal Graphs January 2020
Swapnil Gandhi
M.Tech (Research) Thesis · Indian Institute of Science (IISc)
PDF
1. Wave : A Substrate for Distributed Incremental Graph Processing on Commodity Clusters October 2019
Swapnil Gandhi
ACM Student Research Competition (SRC) at 27th Symposium on Operating Systems Principles (SOSP), Ontario, Canada
Bronze Medal
2. Distributed Querying over Compressed Property Graphs December 2018
Swapnil Gandhi, Sayandip Sarkar, Abhilash Sharma, Yogesh Simmhan
Student Research Symposium (SRS) at 24th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC), Jaipur, India
Best Poster Award