Saurav Muralidharan

According to our database, Saurav Muralidharan authored at least 14 papers between 2009 and 2023.

Collaborative distances:

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

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

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