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Nandakishore Santhi
Nandakishore Santhi
Staff Scientist, Los Alamos National Laboratory; Affiliate Graduate Faculty at ECE Dept, NMSU
Verified email at lanl.gov - Homepage
Title
Cited by
Cited by
Year
Quantum algorithm implementations for beginners
A Adedoyin, J Ambrosiano, P Anisimov, W Casper, G Chennupati, ...
arXiv preprint arXiv:1804.03719, 2018
1712018
Quantum algorithm implementations for beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, W Casper, ...
arXiv e-prints, arXiv: 1804.03719, 2018
622018
The Simian concept: Parallel Discrete Event Simulation with interpreted languages and just-in-time compilation
N Santhi, S Eidenbenz, J Liu
2015 Winter Simulation Conference (WSC), 3013-3024, 2015
462015
Handbook of grammatical evolution
C Ryan, M O'Neill, JJ Collins
Springer International Publishing, 2018
432018
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
332019
Verified instruction-level energy consumption measurement for nvidia gpus
Y Arafa, A ElWazir, A ElKanishy, Y Aly, A Elsayed, AH Badawy, ...
Proceedings of the 17th ACM International Conference on Computing Frontiers …, 2020
282020
An integrated interconnection network model for large-scale performance prediction
K Ahmed, M Obaida, J Liu, S Eidenbenz, N Santhi, G Chapuis
Proceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced …, 2016
242016
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
222018
On an Improvement over R\'enyi's Equivocation Bound
N Santhi, A Vardy
arXiv preprint cs/0608087, 2006
212006
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
202019
Parameterized benchmarking of parallel discrete event simulation systems: Communication, computation, and memory
E Park, S Eidenbenz, N Santhi, G Chapuis, B Settlemyer
2015 Winter Simulation Conference (WSC), 2836-2847, 2015
202015
An analytical memory hierarchy model for performance prediction
G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan
2017 Winter Simulation Conference (WSC), 908-919, 2017
182017
Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics
RJ Zamora, AF Voter, D Perez, N Santhi, SM Mniszewski, S Thulasidasan, ...
Simulation 92 (12), 1065-1086, 2016
182016
A scalable analytical memory model for CPU performance prediction
G Chennupati, N Santhi, R Bird, S Thulasidasan, AHA Badawy, S Misra, ...
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018
172018
Gpu performance prediction through parallel discrete event simulation and common sense
G Chapuis, S Eidenbenz, N Santhi
EAI Endorsed Transactions on Future Internet 3 (10), 204-211, 2016
162016
Analog codes on graphs
N Santhi, A Vardy
arXiv preprint cs/0608086, 2006
162006
On the effect of parity-check weights in iterative decoding
N Santhi, A Vardy
International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 101, 2004
162004
Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles
Y Arafa, AH Badawy, G Chennupati, A Barai, N Santhi, S Eidenbenz
Proceedings of the 34th ACM International Conference on Supercomputing, 1-12, 2020
152020
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
152019
On algebraic decoding of q-ary Reed-Muller and product Reed-Solomon codes
N Santhi
2007 IEEE International Symposium on Information Theory, 1351-1355, 2007
152007
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