Sunil Thulasidasan

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Gopinath Chennupati (గోపినాథ్ చె...Applied Scientist, AmazonDirección de correo verificada de amazon.com
Jeffrey A. BilmesProfessor of Electrical & Computer Engineering & Computer Science, University of Washington SeattleDirección de correo verificada de uw.edu
Stephan EidenbenzComputer Science, Los Alamos National LaboratoryDirección de correo verificada de lanl.gov
Tanmoy BhattacharyaLos Alamos National Laboratory, Santa Fe InstituteDirección de correo verificada de santafe.edu
Hristo DjidjevScientist at IICT, Bulgarian Academy of Sciences and Los Alamos National LaboratoryDirección de correo verificada de lanl.gov
Rumen Andonovprofesseur d'informatique, Université de Rennes 1Dirección de correo verificada de irisa.fr
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of VirginiaDirección de correo verificada de virginia.edu
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaDirección de correo verificada de virginia.edu
Nandakishore SanthiStaff Scientist, Los Alamos National Laboratory; Affiliate Graduate Faculty at ECE Dept, NMSUDirección de correo verificada de lanl.gov
Dominique LavenierIRISADirección de correo verificada de irisa.fr
Gabriel IstrateUniversity of BucharestDirección de correo verificada de acm.org
Susan MniszewskiScientist, Los Alamos National LaboratoryDirección de correo verificada de lanl.gov
Shiva KasiviswanathanAmazon Machine LearningDirección de correo verificada de amazon.com
Apu KapadiaProfessor of Computer Science, Indiana UniversityDirección de correo verificada de indiana.edu
Shripad ThiteUberDirección de correo verificada de uber.com
Christopher L. BarrettBiocomplexity Institute and Initiative, Dept. of Computer Science, University of VirginiaDirección de correo verificada de virginia.edu
Srinath SrinivasaIIIT BangaloreDirección de correo verificada de iiitb.ac.in
Guanhua YanDepartment of Computer Science, Binghamton University, State University of New YorkDirección de correo verificada de binghamton.edu
Pallab DattaIBM Almaden Research CenterDirección de correo verificada de us.ibm.com
Richard J ZamoraNVIDIADirección de correo verificada de nvidia.com

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Sunil Thulasidasan

Amazon

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Machine Learning Deep Learning Modeling and Simulation Distributed Algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
On mixup training: Improved calibration and predictive uncertainty for deep neural networks S Thulasidasan, G Chennupati, J Bilmes, T Bhattacharya, S Michalak NeurIPS 2019, 2019	501	2019
Combating Label Noise in Deep Learning Using Abstention S Thulasidasan, T Bhattacharya, J Bilmes, G Chennupati, J Mohd-Yusof International Conference on Machine Learning, 2019, 2019	183	2019
Strong edge coloring for channel assignment in wireless radio networks CL Barrett, G Istrate, VSA Kumar, MV Marathe, S Thite, S Thulasidasan Fourth Annual IEEE International Conference on Pervasive Computing and …, 2006	111	2006
GREEN: proactive queue management over a best-effort network W Feng, A Kapadia, S Thulasidasan Global Telecommunications Conference, 2002. GLOBECOM'02. IEEE 2, 1774-1778, 2002	78	2002
Efficient multi-GPU computation of all-pairs shortest paths H Djidjev, S Thulasidasan, G Chapuis, R Andonov, D Lavenier 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014	47	2014
All-Pairs Shortest Path algorithms for planar graph for GPU-accelerated clusters H Djidjev, G Chapuis, R Andonov, S Thulasidasan, D Lavenier Journal of Parallel and Distributed Computing 85, 91-103, 2015	36	2015
Optimizing GridFTP through dynamic right-sizing S Thulasidasan, W Feng, MK Gardner High Performance Distributed Computing, 2003. Proceedings. 12th IEEE …, 2003	33	2003
An effective baseline for robustness to distributional shift S Thulasidasan, S Thapa, S Dhaubhadel, G Chennupati, T Bhattacharya, ... 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021	29	2021
Criticality analysis of internet infrastructure G Yan, S Eidenbenz, S Thulasidasan, P Datta, V Ramaswamy Computer Networks 54 (7), 1169-1182, 2010	28	2010
Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator S Thulasidasan, S Kasiviswanathan, S Eidenbenz, E Galli, S Mniszewski, ... 2009 International Conference on High Performance Computing (HiPC), 428-437, 2009	26	2009
Accelerating traffic microsimulations: A parallel discrete-event queue-based approach for speed and scale S Thulasidasan, S Eidenbenz Proceedings of the 2009 Winter Simulation Conference (WSC), 2457-2466, 2009	24	2009
Exploring celebrity dynamics on Twitter MS Srinivasan, S Srinivasa, S Thulasidasan Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop …, 2013	22	2013
Explicit spatial scattering for load balancing in conservatively synchronized parallel discrete event simulations S Thulasidasan, SP Kasiviswanathan, S Eidenbenz, P Romero 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation, 1-8, 2010	22	2010
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	20	2018
User-space auto-tuning for TCP flow control in computational grids MK Gardner, S Thulasidasan, W Feng Computer Communications 27 (14), 1364-1374, 2004	20	2004
An analytical memory hierarchy model for performance prediction G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan 2017 Winter Simulation Conference (WSC), 908-919, 2017	19	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	19	2016
A comparative study of two models for celebrity identification on Twitter MS Srinivasan, S Srinivasa, S Thulasidasan Proceedings of the 20th International Conference on Management of Data, 57-65, 2014	13	2014
Developing parallel, discrete event simulations in Python-first results and user experiences with the SimX library S Thulasidasan, L Kroc, S Eidenbenz 2014 4th International Conference On Simulation And Modeling Methodologies …, 2014	10	2014
A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance C Lavania, S Thulasidasan, A LaMarca, J Scofield, J Bilmes Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016	9	2016

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