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Abramson, J., and P. C. Diniz, "Resiliency-aware scheduling: Resource allocation for hardened computation on configurable devices", International Conference on Field-Programmable Technology (FPT) , 10-12 December 2012, Seoul , Korea, IEEE, 2012.
Abramson, J., and P. C. Diniz, "Resiliency-aware Scheduling for reconfigurable VLIW processors", International Conference on ReConfigurable Computing and FPGAs (ReConFig) , 5-7 December 2012, Cancun , Mexico, IEEE, 2012.
Agullo, E., J. Dongarra, R. Nath, and S. Tomov, "Fully empirical autotuned dense QR factorization for multicore architectures", EuroPar-2011, Bordeaux, France, August, 2011.
Aktulga, H.. M., A.. Buluc, S. Williams, and C.. Yang, "Optimizing Sparse Matrix-Multiple Vector Multiplication for Nuclear Configuration Interaction Calculations", International Parallel and Distributed Processing Symposium (IPDPS 2014), 05/2014.
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac-Grbovic, and J. Dongarra, "Self-Healing Network for Scalable Fault-Tolerant Runtime Environments", Future Generation Computer Systems, vol. 26, no. 3, pp. 479-485, mar, 2010.
Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, "Experiences in autotuning matrix multiplication for energy minimization on GPUs", Concurrency in Computation: Practice and Experience, 05/2015.
Bailey, D. H., R. F. Lucas, and S. W. Williams, Performance Tuning of Scientific Applications, , New York, CRC Press, 2011.
Balaprakash, P., S. M. Wild, and B. Norris, "SPAPT: Search Problems in Automatic Performance Tuning", In Proceedings of the International Conference on Computational Science (ICCS 2012), vol. Procedia Computer Science, no. ANL/MCS-P1872-0411, pp. 1959--1968, 2012.
Balaprakash, P., K. Rupp, A. Mametjanov, R. B. Gramacy, P. D. Hovland, and S. M. Wild, "Empirical Performance Modeling of GPU Kernels Using Active Learning", Parallel Computing: Accelerating Computational Science and Engineering (CSE), vol. 25: IOS Press, pp. 646–655, 2014.
Balaprakash, P., S. M. Wild, and P. Hovland, "Can search algorithms save large-scale automatic performance tuning?", Sixth international Workshop on Automatic Performance Tuning (iWAPT2011), Singapore, pp. 2136 - 2145, 06/2011.
Balaprakash, P., S. M. Wild, and P. D. Hovland, "An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning", High Performance Computing for Computational Science - VECPAR 2012, 10th International Conference, Kobe, Japan, July 17-20, 2012, Revised Selected Papers: Springer, pp. pp. 261–269, 2013.
Balaprakash, P., R. Gramacy, and S. M. Wild, "Active-Learning-Based Surrogate Models for Empirical Performance Tuning", Proceedings of IEEE International Conference on Cluster Computing (CLUSTER 2013), September, 2013.
Balarakash, P., A. Tiwari, and S. M. Wild, "Multi-Objective Optimization of HPC Kernels for Performance, Power, and Energy", 4th International Workshop on Performance Modeling, Benchmarking, and Simulation of HPC Systems (PMBS12), Denver, Colorado, November, 2013.
Basu, P., M. Hall, M. Khan, S. Maindola, S. Muralidharan, S. Ramalingam, A. Rivera, M. Shantharam, and A. Venkat, "Towards making auto tuning mainstream", International Journal of High Performance Computing Applications, vol. 27, issue 4, pp. 379-393, November, 2013.
Bautista-Gomez, L. Arturo, P. Balaprakash, M-S. Bouguerra, S. M. Wild, F. Cappello, and P. D. Hovland, "Energy-performance tradeoffs in multilevel checkpoint strategies", 2014 {IEEE} International Conference on Cluster Computing, {CLUSTER} 2014, Madrid, Spain, September 22-26, 2014, 2014.