Follow
Saurav Muralidharan
Saurav Muralidharan
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Nitro: A framework for adaptive code variant tuning
S Muralidharan, M Shantharam, M Hall, M Garland, B Catanzaro
Parallel and Distributed Processing Symposium, 2014 IEEE 28th International …, 2014
832014
Architecture-adaptive code variant tuning
S Muralidharan, A Roy, M Hall, M Garland, P Rai
ACM SIGARCH Computer Architecture News 44 (2), 325-338, 2016
332016
A programmable approach to neural network compression
V Joseph, GL Gopalakrishnan, S Muralidharan, M Garland, A Garg
IEEE Micro 40 (5), 17-25, 2020
30*2020
Towards making autotuning mainstream
P Basu, M Hall, M Khan, S Maindola, S Muralidharan, S Ramalingam, ...
The International journal of high performance computing applications 27 (4 …, 2013
262013
Going beyond classification accuracy metrics in model compression
V Joseph, SA Siddiqui, A Bhaskara, G Gopalakrishnan, S Muralidharan, ...
arXiv preprint arXiv:2012.01604, 2020
19*2020
Highlight: Efficient and flexible dnn acceleration with hierarchical structured sparsity
YN Wu, PA Tsai, S Muralidharan, A Parashar, V Sze, J Emer
Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023
112023
A collection-oriented programming model for performance portability
S Muralidharan, M Garland, B Catanzaro, A Sidelnik, M Hall
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015
62015
Bayesian optimization of sparsity ratios in model compression
S Muralidharan, V Joseph, G Animesh, M Garland
US Patent App. 16/785,044, 2021
52021
Uniform sparsity in deep neural networks
S Muralidharan
Proceedings of Machine Learning and Systems 5, 2023
32023
Efficient sparsely activated transformers
S Latifi, S Muralidharan, M Garland
arXiv preprint arXiv:2208.14580, 2022
32022
Designing a tunable nested data-parallel programming system
S Muralidharan, M Garland, A Sidelnik, M Hall
ACM Transactions on Architecture and Code Optimization (TACO) 13 (4), 1-24, 2016
32016
Understanding the Effect of the Long Tail on Neural Network Compression
H Dam, V Joseph, A Bhaskara, G Gopalakrishnan, S Muralidharan, ...
arXiv preprint arXiv:2306.06238, 2023
22023
Galaxia: A Semi-decentralized System for Implementing Secure-Group P2P Networks
S Muralidharan, S Koroth, N Anto, R Pandarachalil
2009 First International Conference on Networks & Communications, 289-294, 2009
22009
Abstractions and Strategies for Adaptive Programming
S Muralidharan
The University of Utah, 2016
12016
Flextron: Many-in-One Flexible Large Language Model
R Cai, S Muralidharan, G Heinrich, H Yin, Z Wang, J Kautz, P Molchanov
arXiv preprint arXiv:2406.10260, 2024
2024
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
C Shinn, C McCarthy, S Muralidharan, M Osama, JD Owens
arXiv preprint arXiv:2310.00496, 2023
2023
Pruning and accelerating neural networks with hierarchical fine-grained structured sparsity
Y Wu, T Po-An, S Muralidharan, JS Emer
US Patent App. 17/681,967, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–17