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Sascha Hunold
Sascha Hunold
Verified email at par.tuwien.ac.at
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Cited by
Year
Predicting the energy-consumption of mpi applications at scale using only a single node
FC Heinrich, T Cornebize, A Degomme, A Legrand, A Carpen-Amarie, ...
2017 IEEE international conference on cluster computing (CLUSTER), 92-102, 2017
572017
Reproducible MPI benchmarking is still not as easy as you think
S Hunold, A Carpen-Amarie
IEEE Transactions on Parallel and Distributed Systems 27 (12), 3617-3630, 2016
472016
Scheduling independent moldable tasks on multi-cores with GPUs
R Bleuse, S Hunold, S Kedad-Sidhoum, F Monna, G Mounié, D Trystram
IEEE Transactions on Parallel and Distributed Systems 28 (9), 2689-2702, 2017
412017
Implementing a classic: Zero-copy all-to-all communication with MPI datatypes
JL Träff, A Rougier, S Hunold
Proceedings of the 28th ACM international conference on Supercomputing, 135-144, 2014
372014
Daggen: A synthetic task graph generator
F Suter, S Hunold
Github, 2013
302013
Multilevel hierarchical matrix multiplication on clusters
S Hunold, T Rauber, G Rünger
Proceedings of the 18th annual international conference on Supercomputing …, 2004
262004
Decomposing MPI collectives for exploiting multi-lane communication
JL Träff, S Hunold
2020 IEEE International Conference on Cluster Computing (CLUSTER), 270-280, 2020
252020
Jedule: A tool for visualizing schedules of parallel applications
S Hunold, R Hoffmann, F Suter
2010 39th International Conference on Parallel Processing Workshops, 169-178, 2010
252010
On the state and importance of reproducible experimental research in parallel computing
S Hunold, JL Träff
arXiv preprint arXiv:1308.3648, 2013
242013
Transformation of legacy software into client/server applications through pattern-based rearchitecturing
S Hunold, M Korch, B Krellner, T Rauber, T Reichel, G Rünger
2008 32nd Annual IEEE International Computer Software and Applications …, 2008
242008
Autotuning MPI collectives using performance guidelines
S Hunold, A Carpen-Amarie
Proceedings of the International Conference on High Performance Computing in …, 2018
232018
Reproducible MPI micro-benchmarking isn't as easy as you think
S Hunold, A Carpen-Amarie, JL Träff
Proceedings of the 21st European MPI Users' Group Meeting, 69-76, 2014
222014
Predicting MPI collective communication performance using machine learning
S Hunold, A Bhatele, G Bosilca, P Knees
2020 IEEE International Conference on Cluster Computing (CLUSTER), 259-269, 2020
212020
Isomorphic, sparse MPI-like collective communication operations for parallel stencil computations
JL Träff, FD Lübbe, A Rougier, S Hunold
Proceedings of the 22nd European MPI Users' Group Meeting, 1-10, 2015
212015
One step toward bridging the gap between theory and practice in moldable task scheduling with precedence constraints
S Hunold
Concurrency and Computation: Practice and Experience 27 (4), 1010-1026, 2015
212015
Redistribution aware two-step scheduling for mixed-parallel applications
S Hunold, T Rauber, F Suter
2008 IEEE International Conference on Cluster Computing, 50-58, 2008
212008
Combining building blocks for parallel multi-level matrix multiplication
S Hunold, T Rauber, G Rünger
Parallel Computing 34 (6-8), 411-426, 2008
212008
Automatic tuning of PDGEMM towards optimal performance
S Hunold, T Rauber
Euro-Par 2005 Parallel Processing: 11th International Euro-Par Conference …, 2005
212005
Scheduling dynamic workflows onto clusters of clusters using postponing
S Hunold, T Rauber, F Suter
2008 Eighth IEEE International Symposium on Cluster Computing and the Grid …, 2008
202008
On the expected and observed communication performance with MPI derived datatypes
A Carpen-Amarie, S Hunold, JL Träff
Proceedings of the 23rd European MPI Users' Group Meeting, 108-120, 2016
192016
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