Prasanna Balaprakash
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
SPAPT: Search problems in automatic performance tuning
P Balaprakash, SM Wild, B Norris
Procedia Computer Science 9, 1959-1968, 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
The ACO/F-RACE algorithm for combinatorial optimization under uncertainty
M Birattari, P Balaprakash, M Dorigo
Metaheuristics, 189-203, 2007
The system can't perform the operation now. Try again later.
Articles 1–20