Rohan Varma

27 papers B 1Misc 3Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training LLMs with Fault Tolerant HSDP on 100,000 GPUs.
CoRR
Omkar Salpekar, Rohan Varma, Kenny Yu, Vladimir Ivanov, Yang Wang, Ahmed Sharif, Min Si, Shawn Xu, Feng Tian, Shengbao Zheng, Tristan Rice, Ankush Garg, Shangfu Peng, Shreyas Siravara, Wenyin Fu, Rodrigo de Castro, Adithya Gangidi, Andrey Obraztsov, Sharan Narang, Sergey Edunov, Maxim Naumov, Chunqiang Tang, Mathew Oldham
2025 J jnl
Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.
PLoS Comput. Biol.
Quintin Pope, Rohan Varma, Christine A. Tataru, Maude M. David, Xiaoli Z. Fern
2024 J jnl
Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach.
SN Comput. Sci.
Varun Barthwal, Man Mohan Singh Rauthan, Rohan Varma, Sachin Gaur
2023 J jnl
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
CoRR
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li
2023 J jnl
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.
Proc. VLDB Endow.
Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li
2023 — conf
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls.
MLSys
Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala
2022 J jnl
SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines.
Int. J. Cloud Appl. Comput.
Varun Barthwal, Manmohan Singh Rauthan, Rohan Varma
2020 J jnl
PyTorch Distributed: Experiences on Accelerating Data Parallel Training.
CoRR
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
2020 J jnl
PyTorch Distributed: Experiences on Accelerating Data Parallel Training.
Proc. VLDB Endow.
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
2020 J jnl
Vector-Valued Graph Trend Filtering With Non-Convex Penalties.
IEEE Trans. Signal Inf. Process. over Networks
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
2019 Misc conf
Improving Graph Trend Filtering with Non-convex Penalties.
ICASSP
Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic
2019 Misc conf
Smooth Signal Recovery on Product Graphs.
ICASSP
Rohan Varma, Jelena Kovacevic
2019 J jnl
Vector-Valued Graph Trend Filtering with Non-Convex Penalties.
CoRR
Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi
2018 J jnl
Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications.
IEEE Trans. Circuits Syst. II Express Briefs
Mauro Mangia, Fabio Pareschi, Rohan Varma, Riccardo Rovatti, Jelena Kovacevic, Gianluca Setti
2018 J jnl
Sampling Theory for Graph Signals on Product Graphs.
CoRR
Rohan Varma, Jelena Kovacevic
2017 — conf
Graph topology recovery for regular and irregular graphs.
CAMSAP
Rohan Varma, Siheng Chen, Jelena Kovacevic
2017 J jnl
Reconstructing cancer drug response networks using multitask learning.
BMC Syst. Biol.
Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph
2016 B conf
A statistical perspective of sampling scores for linear regression.
ISIT
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2016 Misc conf
Representations of piecewise smooth signals on graphs.
ICASSP
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2016 J jnl
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies.
IEEE Trans. Signal Inf. Process. over Networks
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2015 J jnl
Discrete Signal Processing on Graphs: Sampling Theory.
CoRR
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic
2015 J jnl
Discrete Signal Processing on Graphs: Sampling Theory.
IEEE Trans. Signal Process.
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic
2015 — conf
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery.
Allerton
Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic
2015 J jnl
Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies.
CoRR
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2015 J jnl
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling.
CoRR
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2015 J jnl
Signal Representations on Graphs: Tools and Applications.
CoRR
Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic
2015 — conf
Spectrum-blind signal recovery on graphs.
CAMSAP
Rohan Varma, Siheng Chen, Jelena Kovacevic