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
Sandeep MadireddyMathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Stefan M. WildBerkeley Lab, Applied Mathematics & Computational Research DivisionVerified email at lbl.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
Venkatram VishwanathComputer Scientist, Argonne National LaboratoryVerified email at anl.gov
Mary HallProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Boyana NorrisAssociate Professor, Computer Science, University of OregonVerified email at cs.uoregon.edu
Yuri AlexeevSenior Quantum Algorithm EngineerVerified email at nvidia.com
Rob LathamArgonne National LaboratoryVerified email at mcs.anl.gov
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at anl.gov
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov
Rajkumar KettimuthuArgonne National Laboratory and University of ChicagoVerified email at mcs.anl.gov
Kalyan KumaranArgonne National LaboratoryVerified email at alcf.anl.gov
Leonardo A. Bautista GomezMigaLabs / Status.imVerified email at bsc.es
Sven LeyfferSenior Computational Mathematician, Argonne National LaboratoryVerified email at anl.gov
Osman S. UnsalBarcelona Supercomputing CenterVerified email at bsc.es

Prasanna Balaprakash

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

Verified email at ornl.gov - Homepage

AI for Science Scientific Machine Learning High Performance Computing


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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	565	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	331	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), 2021	257	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	166	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	138	2018
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	137	2020
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	130	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, 59-69, 2018	98	2018
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	89	2021
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	87	2020
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	86	2018
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	82	2020
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	77	2009
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	75	2014
Fidelity: Efficient resilience analysis framework for deep learning accelerators Y He, P Balaprakash, Y Li 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020	64	2020
A cross-study analysis of drug response prediction in cancer cell lines F Xia, J Allen, P Balaprakash, T Brettin, C Garcia-Cardona, A Clyde, ... Briefings in bioinformatics 23 (1), bbab356, 2022	62	2022
Graph convolutional neural networks for optimal load shedding under line contingency C Kim, K Kim, P Balaprakash, M Anitescu 2019 ieee power & energy society general meeting (pesgm), 1-5, 2019	60	2019
Scalable reinforcement-learning-based neural architecture search for cancer deep learning research P Balaprakash, R Egele, M Salim, S Wild, V Vishwanath, F Xia, T Brettin, ... Proceedings of the international conference for high performance computing …, 2019	59	2019
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	59	2013
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	57	2015

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