Prasanna Balaprakash - Google Scholar

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	All	Since 2015
Citations	1610	1064
h-index	20	17
i10-index	36	30

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2006200720082009201020112012201320142015201620172018201920204 26 21 43 65 64 63 127 119 135 126 171 185 247 198

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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
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
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Boyana NorrisAssociate Professor, Computer and Information Science, University of OregonVerified email at cs.uoregon.edu
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov
Rob LathamArgonne National LaboratoryVerified email at mcs.anl.gov
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Yuri AlexeevComputational ScientistVerified email at alcf.anl.gov
Leonardo A. Bautista GomezBarcelona Supercomputing CenterVerified email at bsc.es
Raj KettimuthuArgonne National Laboratory and University of ChicagoVerified email at mcs.anl.gov
Mary HallProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
Ananta TiwariEP Analytics, Inc.Verified email at epanalytics.com
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at uchicago.edu
Kalyan KumaranArgonne National LaboratoryVerified email at alcf.anl.gov
Osman S. UnsalBarcelona Supercomputing CenterVerified email at bsc.es
Sheng DiArgonne National Labratory, IEEE Senior MemberVerified email at anl.gov

Prasanna Balaprakash

Computer Scientist, Argonne National Laboratory

Verified email at mcs.anl.gov - Homepage

Artificial Intelligence Machine learning High performance computing Automatic tuning Optimization


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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	361	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	245	2007
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	64	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	61	2009
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
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
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	36	2009
The ACO/F-RACE algorithm for combinatorial optimization under uncertainty M Birattari, P Balaprakash, M Dorigo Metaheuristics, 189-203, 2007	36	2007
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	31	2015
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	31	2013
SPAPT: Search problems in automatic performance tuning P Balaprakash, SM Wild, B Norris Procedia Computer Science 9, 1959-1968, 2012	31	2012
Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys DGL Prakash, B Prasanna, D Regener Computational Materials Science 32 (3-4), 480-488, 2005	30	2005
Can search algorithms save large-scale automatic performance tuning? P Balaprakash, SM Wild, PD Hovland Procedia Computer Science 4, 2136-2145, 2011	29	2011
ACO/F-Race: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty M Birattari, P Balaprakash, M Dorigo MIC 2005: The 6th Metaheuristics International Conference, 107-112, 2005	29	2005
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	28	2017
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	28	2015
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	26	2018
Novel large scale simulation process to support DOT’s CAFE modeling system A Moawad, P Balaprakash, A Rousseau, S Wild International Journal of Automotive Technology 17 (6), 1067-1077, 2016	25	2016
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	22	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	21	2020

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