Saurav Muralidharan
Saurav Muralidharan
Senior Research Scientist, NVIDIA
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Zitiert von
Zitiert von
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
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
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
A programmable approach to neural network compression
V Joseph, GL Gopalakrishnan, S Muralidharan, M Garland, A Garg
IEEE Micro 40 (5), 17-25, 2020
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
Reliable model compression via label-preservation-aware loss functions
V Joseph, SA Siddiqui, A Bhaskara, G Gopalakrishnan, S Muralidharan, ...
arXiv preprint arXiv:2012.01604, 2020
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
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
Abstractions and Strategies for Adaptive Programming
S Muralidharan
The University of Utah, 2016
Bayesian optimization of sparsity ratios in model compression
S Muralidharan, V Joseph, G Animesh, M Garland
US Patent App. 16/785,044, 2021
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