Prasanna Balaprakash

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Mauro BirattariF.R.S.–FNRS Research Director, IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Verified email at ulb.ac.be
Stefan M. WildArgonne National Laboratory, Mathematics & Computer Science DivisionVerified email at mcs.anl.gov
Marco DorigoFNRS Research Director, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Paul D. HovlandSenior Computer Scientist, Argonne National LaboratoryVerified email at mcs.anl.gov
Zhi YuanResearcher, Helmut Schmidt University Hamburg; PhD at IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
Boyana NorrisAssociate Professor, Computer Science, University of OregonVerified email at cs.uoregon.edu
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Venkatram VishwanathComputer Scientist, Argonne National LaboratoryVerified email at anl.gov
Mary HallProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
Yuri AlexeevComputational ScientistVerified email at alcf.anl.gov
Rob LathamArgonne National LaboratoryVerified email at mcs.anl.gov
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at uchicago.edu
Raj KettimuthuArgonne National Laboratory and University of ChicagoVerified email at mcs.anl.gov
Leonardo A. Bautista GomezBarcelona Supercomputing CenterVerified email at bsc.es
Kalyan KumaranArgonne National LaboratoryVerified email at alcf.anl.gov
Sven LeyfferSenior Computational Mathematician, Argonne National LaboratoryVerified email at anl.gov
Osman S. UnsalBarcelona Supercomputing CenterVerified email at bsc.es

Prasanna Balaprakash

Computer Scientist, Argonne National Laboratory

Verified email at mcs.anl.gov - Homepage

Artificial Intelligence Machine learning High performance computing Stochastic local search


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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	457	2010
Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle International workshop on hybrid metaheuristics, 108-122, 2007	298	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	85	2021
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	76	2020
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	75	2018
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	71	2018
Multi objective optimization of HPC kernels for performance, power, and energy P Balaprakash, A Tiwari, SM Wild International Workshop on Performance Modeling, Benchmarking and Simulation …, 2013	71	2013
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 (3), 223-242, 2009	71	2009
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	62	2018
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	50	2008
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	47	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	43	2015
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
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	40	2013
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	38	2018
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	38	2017
SPAPT: Search problems in automatic performance tuning P Balaprakash, SM Wild, B Norris Procedia Computer Science 9, 1959-1968, 2012	37	2012
Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem P Balaprakash, M Birattari, T Stützle, M Dorigo European Journal of Operational Research 199 (1), 98-110, 2009	37	2009
The ACO/F-RACE algorithm for combinatorial optimization under uncertainty M Birattari, P Balaprakash, M Dorigo Metaheuristics, 189-203, 2007	37	2007
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	35	2015

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