Saurav Muralidharan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Structured Sparsity

Sparse Approximation

Top Venues

Publications

Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
Flextron: Many-in-One Flexible Large Language Model. CoRR (2024)
Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov
Compact Language Models via Pruning and Knowledge Distillation. CoRR (2024)
Saurav Muralidharan
Uniform Sparsity in Deep Neural Networks. MLSys (2023)
Cameron Shinn, Collin McCarthy, Saurav Muralidharan, Muhammad Osama, John D. Owens
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks. CoRR (2023)
Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland
Understanding the Effect of the Long Tail on Neural Network Compression. CoRR (2023)
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel Emer
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO (2023)
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. CoRR (2023)
Salar Latifi, Saurav Muralidharan, Michael Garland
Efficient Sparsely Activated Transformers. CoRR (2022)
Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel
Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR (2020)
Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg
A Programmable Approach to Neural Network Compression. IEEE Micro 40 (5) (2020)
Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan
A Programmable Approach to Model Compression. CoRR (2019)
Saurav Muralidharan, Michael Garland, Albert Sidelnik, Mary W. Hall
Designing a Tunable Nested Data-Parallel Programming System. ACM Trans. Archit. Code Optim. 13 (4) (2016)
Saurav Muralidharan, Amit Roy, Mary W. Hall, Michael Garland, Piyush Rai
Architecture-Adaptive Code Variant Tuning. ASPLOS (2016)
Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall
A collection-oriented programming model for performance portability. PPOPP (2015)
Saurav Muralidharan, Manu Shantharam, Mary W. Hall, Michael Garland, Bryan Catanzaro
Nitro: A Framework for Adaptive Code Variant Tuning. IPDPS (2014)
Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat
Towards making autotuning mainstream. Int. J. High Perform. Comput. Appl. 27 (4) (2013)
Saurav Muralidharan, Sajin Koroth, Nevil Anto, Rafeeque Pandarachalil
Galaxia: A Semi-decentralized System for Implementing Secure-Group P2P Networks. NetCoM (2009)