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
PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ...
arXiv, arXiv: 1804.03719, 2018
982018
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
342015
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
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
212016
On an Improvement over R\'enyi's Equivocation Bound
N Santhi, A Vardy
arXiv preprint cs/0608087, 2006
212006
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
162019
Handbook of Grammatical Evolution
C Ryan, M O'Neill, JJ Collins
Springer International Publishing, 2018
162018
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
162015
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
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
152018
Quantum algorithm implementations for beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ...
arXiv e-prints, arXiv: 1804.03719, 2018
142018
An analytical memory hierarchy model for performance prediction
G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan
2017 Winter Simulation Conference (WSC), 908-919, 2017
142017
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
142007
Analog codes on graphs
N Santhi, A Vardy
arXiv preprint cs/0608086, 2006
142006
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
132017
Understanding cascading failures in power grids
S Kadloor, N Santhi
arXiv preprint arXiv:1011.4098, 2010
122010
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
112019
Gpu performance prediction through parallel discrete event simulation and common sense
G Chapuis, S Eidenbenz, N Santhi
Proceedings of the 9th EAI International Conference on Performance …, 2016
102016
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
82019
CyberSim: Geographic, temporal, and organizational dynamics of malware propagation
N Santhi, G Yan, S Eidenbenz
Proceedings of the 2010 Winter Simulation Conference, 2876-2887, 2010
82010
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