Saurav Muralidharan

According to our database, Saurav Muralidharan authored at least 20 papers between 2009 and 2024.

Collaborative distances:

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

2024

EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation.

Shih-Yang Liu, Huck Yang, Chein-Yi Wang, Nai Chit Fung, Hongxu Yin, Charbel Sakr, Saurav Muralidharan, Kwang-Ting Cheng, Jan Kautz, Yu-Chiang Frank Wang, Pavlo Molchanov, Min-Hung Chen

CoRR, 2024

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

CoRR, 2024

LLM Pruning and Distillation in Practice: The Minitron Approach.

Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov

CoRR, 2024

Compact Language Models via Pruning and Knowledge Distillation.

Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov

CoRR, 2024

Flextron: Many-in-One Flexible Large Language Model.

Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks.

Cameron Shinn, Collin McCarthy, Saurav Muralidharan, Muhammad Osama, John D. Owens

CoRR, 2023

Understanding the Effect of the Long Tail on Neural Network Compression.

Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland

CoRR, 2023

Uniform Sparsity in Deep Neural Networks.

Saurav Muralidharan

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

HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity.

Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Efficient Sparsely Activated Transformers.

Salar Latifi, Saurav Muralidharan, Michael Garland

CoRR, 2022

2020

A Programmable Approach to Neural Network Compression.

Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg

IEEE Micro, 2020

Reliable Model Compression via Label-Preservation-Aware Loss Functions.

Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel

CoRR, 2020

2019

A Programmable Approach to Model Compression.

Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan

CoRR, 2019

2016

Abstractions and Strategies for Adaptive Programming.

Saurav Muralidharan

PhD thesis, 2016

Designing a Tunable Nested Data-Parallel Programming System.

Saurav Muralidharan, Michael Garland, Albert Sidelnik, Mary W. Hall

ACM Trans. Archit. Code Optim., 2016

Architecture-Adaptive Code Variant Tuning.

Saurav Muralidharan, Amit Roy, Mary W. Hall, Michael Garland, Piyush Rai

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

A collection-oriented programming model for performance portability.

Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2014

Nitro: A Framework for Adaptive Code Variant Tuning.

Saurav Muralidharan, Manu Shantharam, Mary W. Hall, Michael Garland, Bryan Catanzaro

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Towards making autotuning mainstream.

Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat

Int. J. High Perform. Comput. Appl., 2013

2009

Galaxia: A Semi-decentralized System for Implementing Secure-Group P2P Networks.

Saurav Muralidharan, Sajin Koroth, Nevil Anto, Rafeeque Pandarachalil

Proceedings of the First International Conference on Networks and Communications, 2009