Tapan Chugh
I am a fifth year PhD student at the University of Washington, where I am advised by Arvind Krishnamurthy and Ratul Mahajan. I am broadly interested in distributed systems and machine learning systems. My recent projects revolve around optimizing resource efficiency of machine learning applications.
My academic journey is complemented by valuable industrial experiences. I am currently engaged as a student researcher at Systems Research @ Google where I work on optimizing accelerator efficiency for ML serving. Previously, I collaborated with Srikanth Kandula and Ishai Menache as a research intern and visitor at Microsoft Research. Before starting my PhD, I spent two years as a Research Fellow at Microsoft Research India working with Muthian Sivathanu.
selected publications
Publications
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SoCCAnticipatory Resource Allocation for ML TrainingIn Proceedings of the 14th ACM Symposium on Cloud Computing, 2023
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SIGMETRICSDremel: Adaptive Configuration Tuning of RocksDB KV-StoreProceedings of the ACM on Measurement and Analysis of Computing Systems, 2022
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SIGCOMMGimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFsIn Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 2021
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ASPLOSAstra: Exploiting predictability to optimize deep learningIn Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019