Gopinath Chennupati
Título
Citado por
Citado por
Ano
Quantum algorithm implementations for beginners
PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ...
arXiv, arXiv: 1804.03719, 2018
762018
On mixup training: Improved calibration and predictive uncertainty for deep neural networks
S Thulasidasan, G Chennupati, JA Bilmes, T Bhattacharya, S Michalak
Advances in Neural Information Processing Systems, 13888-13899, 2019
482019
Combating label noise in deep learning using abstention
S Thulasidasan, T Bhattacharya, J Bilmes, G Chennupati, J Mohd-Yusof
arXiv preprint arXiv:1905.10964, 2019
262019
Parallel application performance prediction using analysis based models and HPC simulations
MA Obaida, J Liu, G Chennupati, N Santhi, S Eidenbenz
Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced …, 2018
112018
An analytical memory hierarchy model for performance prediction
G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan
2017 Winter Simulation Conference (WSC), 908-919, 2017
112017
Multi-core GE: automatic evolution of CPU based multi-core parallel programs
G Chennupati, RMA Azad, C Ryan
Proceedings of the 2014 conference companion on Genetic and evolutionary …, 2014
112014
Ppt-gpu: Scalable gpu performance modeling
Y Arafa, AHA Badawy, G Chennupati, N Santhi, S Eidenbenz
IEEE Computer Architecture Letters 18 (1), 55-58, 2019
102019
A scalable analytical memory model for CPU performance prediction
G Chennupati, N Santhi, R Bird, S Thulasidasan, AHA Badawy, S Misra, ...
International Workshop on Performance Modeling, Benchmarking and Simulation …, 2017
102017
Performance optimization of multi-core grammatical evolution generated parallel recursive programs
G Chennupati, RMA Azad, C Ryan
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
102015
On The Efficiency of Multi-core Grammatical Evolution (MCGE) Evolving Multi-Core Parallel Programs
G Chennupati, J Fitzgerald, C Ryan
Sixth World Congress on Nature and Biologically Inspired Computing, 238 -- 243, 2014
92014
Quantum Algorithm Implementations for Beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ...
arXiv, arXiv: 1804.03719, 2018
72018
Automatic evolution of parallel sorting programs on multi-cores
G Chennupati, RMA Azad, C Ryan
European Conference on the Applications of Evolutionary Computation, 706-717, 2015
72015
Scalable performance prediction of codes with memory hierarchy and pipelines
G Chennupati, N Santhi, S Eidenbenz
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced …, 2019
62019
Automatic lock-free parallel programming on multi-core processors
G Chennupati, RMA Azad, C Ryan
2016 IEEE Congress on Evolutionary Computation (CEC), 4143-4150, 2016
62016
Eant-miner: an ensemble ant-miner to improve the aco classification
G Chennupati
arXiv preprint arXiv:1409.2710, 2014
62014
A probabilistic monte carlo framework for branch prediction
B Kalla, N Santhi, AHA Badawy, G Chennupati, S Eidenbenz
2017 IEEE International Conference on Cluster Computing (CLUSTER), 651-652, 2017
52017
Automatic evolution of parallel recursive programs
G Chennupati, RMA Azad, C Ryan
European Conference on Genetic Programming, 167-178, 2015
52015
Predict the performance of GE with an ACO based machine learning algorithm
G Chennupati, RMA Azad, C Ryan
Proceedings of the 2014 conference companion on Genetic and evolutionary …, 2014
52014
An Empirical Analysis Through the Time Complexity of GE Problems
G Chennupati, C Ryan, RMA Azad
19th International Conference on Soft Computing, MENDEL 2013, 37-44, 2013
52013
Low overhead instruction latency characterization for nvidia gpgpus
Y Arafa, AHA Badawy, G Chennupati, N Santhi, S Eidenbenz
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2019
42019
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