Nandakishore Santhi

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Stephan EidenbenzComputer Science, Los Alamos National LaboratoryVerified email at lanl.gov
Gopinath Chennupati (గోపినాథ్ చె...Applied Scientist, AmazonVerified email at amazon.com
Abdel-Hameed A. BadawyAssociate Professor, Klipsch School of Electrical & Computer Engineering, New Mexico State Univ.Verified email at nmsu.edu
Yehia ArafaQualcomm Cloud Computing, PhD in Computer EngineeringVerified email at qualcomm.com
Atanu Barai (অতনু বাড়ৈ)ISTI Postdoc Fellow at Los Alamos National LaboratoryVerified email at lanl.gov
Alexander VardyUniversity of California San DiegoVerified email at ucsd.edu
Jason LiuProfessor, Florida International UniversityVerified email at cis.fiu.edu
Sunil ThulasidasanCambrian AIVerified email at cambriantech.ai
Abu ObaidaSenior Software Development Engineer, Amazon Aurora, Amazon Web Services, AmazonVerified email at fiu.edu
Danny PerezLos Alamos National LaboratoryVerified email at lanl.gov
Susan MniszewskiScientist, Los Alamos National LaboratoryVerified email at lanl.gov
Richard J ZamoraNVIDIAVerified email at nvidia.com
Hristo DjidjevScientist at IICT, Bulgarian Academy of Sciences and Los Alamos National LaboratoryVerified email at lanl.gov
Robert BirdLos Alamos National LaboratoryVerified email at lanl.gov
Brad SettlemyerNVIDIAVerified email at deepcopy.org
Arthur F. VoterLos Alamos National LaboratoryVerified email at lanl.gov
Sachin KadloorGoogleVerified email at google.com
Guanhua YanDepartment of Computer Science, Binghamton University, State University of New YorkVerified email at binghamton.edu
leonid gurvitsProfessor of computer science, The City College of New YorkVerified email at lanl.gov
Christoph JunghansLos Alamos National LaboratoryVerified email at lanl.gov

Nandakishore Santhi

Staff Scientist, Los Alamos National Laboratory; Affiliate Graduate Faculty at ECE Dept, NMSU

Verified email at lanl.gov - Homepage

Information Theory Error Correction Codes VLSI Co-design Optimization Parallel Discrete Event Simulations


Title Sort by citations Sort by year Sort by 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	195	2018
Quantum algorithm implementations for beginners PJ Coles, S Eidenbenz, S Pakin, A Adedoyin, J Ambrosiano, P Anisimov, ... arXiv, arXiv: 1804.03719, 2018	147	2018
Handbook of grammatical evolution C Ryan, M O'Neill, JJ Collins Springer International Publishing, 2018	69	2018
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	53	2020
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	52	2015
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	46	2019
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	36	2019
Demystifying the nvidia ampere architecture through microbenchmarking and instruction-level analysis H Abdelkhalik, Y Arafa, N Santhi, AHA Badawy 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2022	33	2022
Hybrid, scalable, trace-driven performance modeling of GPGPUs Y Arafa, AH Badawy, A ElWazir, A Barai, A Eker, G Chennupati, N Santhi, ... Proceedings of the International Conference for High Performance Computing …, 2021	28	2021
Code characterization with graph convolutions and capsule networks P Haridas, G Chennupati, N Santhi, P Romero, S Eidenbenz IEEE Access 8, 136307-136315, 2020	28	2020
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	27	2020
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	26	2018
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	26	2016
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	21	2018
An analytical memory hierarchy model for performance prediction G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan 2017 Winter Simulation Conference (WSC), 908-919, 2017	20	2017
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	20	2016
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	20	2015
On an Improvement over R\'enyi's Equivocation Bound N Santhi, A Vardy arXiv preprint cs/0608087, 2006	20	2006
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	18	2019
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	18	2016

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