Prasanna Balaprakash

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	Tutte	Dal 2018
Citazioni	3480	2470
Indice H	31	26
i10-index	71	62

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Mauro BirattariF.R.S.–FNRS Research Director, IRIDIA, Université libre de BruxellesEmail verificata su ulb.ac.be
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Email verificata su ulb.ac.be
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryEmail verificata su mcs.anl.gov
Stefan M. WildBerkeley Lab, Applied Mathematics & Computational Research DivisionEmail verificata su lbl.gov
Marco DorigoFNRS Research Director, IRIDIA, Université Libre de BruxellesEmail verificata su ulb.ac.be
Paul D. HovlandSenior Computer Scientist, Argonne National LaboratoryEmail verificata su mcs.anl.gov
Zhi YuanResearcher, Helmut Schmidt University Hamburg; PhD at IRIDIA, Université libre de BruxellesEmail verificata su ulb.ac.be
Venkatram VishwanathComputer Scientist, Argonne National LaboratoryEmail verificata su anl.gov
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryEmail verificata su mcs.anl.gov
Boyana NorrisAssociate Professor, Computer Science, University of OregonEmail verificata su cs.uoregon.edu
Mary HallProfessor, School of Computing, University of UtahEmail verificata su cs.utah.edu
Yuri AlexeevComputational ScientistEmail verificata su alcf.anl.gov
Rob LathamArgonne National LaboratoryEmail verificata su mcs.anl.gov
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryEmail verificata su uchicago.edu
Franck CappelloArgonne National Laboratory, IEEE FellowEmail verificata su anl.gov
Rajkumar KettimuthuArgonne National Laboratory and University of ChicagoEmail verificata su mcs.anl.gov
Kalyan KumaranArgonne National LaboratoryEmail verificata su alcf.anl.gov
Leonardo A. Bautista GomezBarcelona Supercomputing CenterEmail verificata su bsc.es
Sven LeyfferSenior Computational Mathematician, Argonne National LaboratoryEmail verificata su anl.gov
Osman S. UnsalBarcelona Supercomputing CenterEmail verificata su bsc.es

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Prasanna Balaprakash

Director of AI Programs and Distinguished R&D Scientist, Oak Ride National Laboratory

Email verificata su ornl.gov - Home page

Artificial Intelligence Machine learning High performance computing Stochastic local search


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
F-Race and Iterated F-Race: An Overview M Birattari, Z Yuan, P Balaprakash, T Stützle Experimental methods for the analysis of optimization algorithms, 311-336, 2010	500	2010
Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund …, 2007	311	2007
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders R Maulik, B Lusch, P Balaprakash Physics of Fluids 33 (3), 037106, 2021	152	2021
DeepHyper: Asynchronous hyperparameter search for deep neural networks P Balaprakash, M Salim, TD Uram, V Vishwanath, SM Wild 2018 IEEE 25th international conference on high performance computing (HiPC …, 2018	110	2018
Autotuning in high-performance computing applications P Balaprakash, J Dongarra, T Gamblin, M Hall, JK Hollingsworth, B Norris, ... Proceedings of the IEEE 106 (11), 2068-2083, 2018	100	2018
Time-series learning of latent-space dynamics for reduced-order model closure R Maulik, A Mohan, B Lusch, S Madireddy, P Balaprakash, D Livescu Physica D: Nonlinear Phenomena 405, 132368, 2020	98	2020
Learning to optimize variational quantum circuits to solve combinatorial problems S Khairy, R Shaydulin, L Cincio, Y Alexeev, P Balaprakash Proceedings of the AAAI conference on artificial intelligence 34 (03), 2367-2375, 2020	84	2020
CANDLE/Supervisor: A workflow framework for machine learning applied to cancer research JM Wozniak, R Jain, P Balaprakash, J Ozik, NT Collier, J Bauer, F Xia, ... BMC bioinformatics 19 (18), 59-69, 2018	79	2018
Multi objective optimization of HPC kernels for performance, power, and energy P Balaprakash, A Tiwari, SM Wild High Performance Computing Systems. Performance Modeling, Benchmarking and …, 2014	74	2014
Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem P Balaprakash, M Birattari, T Stützle, Z Yuan, M Dorigo Swarm Intelligence 3, 223-242, 2009	71	2009
Benchmarking machine learning methods for performance modeling of scientific applications P Malakar, P Balaprakash, V Vishwanath, V Morozov, K Kumaran 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High …, 2018	59	2018
Active-learning-based surrogate models for empirical performance tuning P Balaprakash, RB Gramacy, SM Wild 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013	55	2013
Transfer learning with graph neural networks for short-term highway traffic forecasting T Mallick, P Balaprakash, E Rask, J Macfarlane 2020 25th International Conference on Pattern Recognition (ICPR), 10367-10374, 2021	54	2021
Estimation-based local search for stochastic combinatorial optimization using delta evaluations: a case study on the probabilistic traveling salesman problem M Birattari, P Balaprakash, T Stützle, M Dorigo INFORMS Journal on Computing 20 (4), 644-658, 2008	54	2008
Constrained deep reinforcement learning for energy sustainable multi-UAV based random access IoT networks with NOMA S Khairy, P Balaprakash, LX Cai, Y Cheng IEEE Journal on Selected Areas in Communications 39 (4), 1101-1115, 2020	49	2020
Generating efficient tensor contractions for GPUs T Nelson, A Rivera, P Balaprakash, M Hall, PD Hovland, E Jessup, ... 2015 44th International Conference on Parallel Processing, 969-978, 2015	49	2015
Explaining wide area data transfer performance Z Liu, P Balaprakash, R Kettimuthu, I Foster Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017	42	2017
Graph-partitioning-based diffusion convolutional recurrent neural network for large-scale traffic forecasting T Mallick, P Balaprakash, E Rask, J Macfarlane Transportation Research Record 2674 (9), 473-488, 2020	41	2020
Estimation-based metaheuristics for the probabilistic traveling salesman problem P Balaprakash, M Birattari, T Stützle, M Dorigo Computers & Operations Research 37 (11), 1939-1951, 2010	41	2010
Collective I/O tuning using analytical and machine learning models F Isaila, P Balaprakash, SM Wild, D Kimpe, R Latham, R Ross, P Hovland 2015 IEEE International Conference on Cluster Computing, 128-137, 2015	40	2015

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