Rohan Varma

According to our database, Rohan Varma authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach.

Varun Barthwal, Man Mohan Singh Rauthan, Rohan Varma, Sachin Gaur

SN Comput. Sci., June, 2024

2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

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

Proc. VLDB Endow., 2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

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

CoRR, 2023

PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls.

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

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines.

Varun Barthwal, Manmohan Singh Rauthan, Rohan Varma

Int. J. Cloud Appl. Comput., 2022

2020

Vector-Valued Graph Trend Filtering With Non-Convex Penalties.

Rohan Varma, Harlin Lee, Jelena Kovacevic, Yuejie Chi

IEEE Trans. Signal Inf. Process. over Networks, 2020

PyTorch Distributed: Experiences on Accelerating Data Parallel Training.

Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala

Proc. VLDB Endow., 2020

2019

Improving Graph Trend Filtering with Non-convex Penalties.

Rohan Varma, Harlin Lee, Yuejie Chi, Jelena Kovacevic

Proceedings of the IEEE International Conference on Acoustics, 2019

Smooth Signal Recovery on Product Graphs.

Rohan Varma, Jelena Kovacevic

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Rakeness-Based Compressed Sensing of Multiple-Graph Signals for IoT Applications.

Mauro Mangia, Fabio Pareschi, Rohan Varma, Riccardo Rovatti, Jelena Kovacevic, Gianluca Setti

IEEE Trans. Circuits Syst. II Express Briefs, 2018

Sampling Theory for Graph Signals on Product Graphs.

Rohan A. Varma, Jelena Kovacevic

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Reconstructing cancer drug response networks using multitask learning.

Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph

BMC Syst. Biol., 2017

Graph topology recovery for regular and irregular graphs.

Rohan Varma, Siheng Chen, Jelena Kovacevic

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

IEEE Trans. Signal Inf. Process. over Networks, 2016

A statistical perspective of sampling scores for linear regression.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the IEEE International Symposium on Information Theory, 2016

Representations of piecewise smooth signals on graphs.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Discrete Signal Processing on Graphs: Sampling Theory.

Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, Jelena Kovacevic

IEEE Trans. Signal Process., 2015

Signal Representations on Graphs: Tools and Applications.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Signal Recovery on Graphs: Random versus Experimentally Designed Sampling.

Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovacevic

CoRR, 2015

Spectrum-blind signal recovery on graphs.

Rohan Varma, Siheng Chen, Jelena Kovacevic

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery.

Tianxi Ji, Siheng Chen, Rohan Varma, Jelena Kovacevic

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015