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Sascha Hunold
Sascha Hunold
Email verificata su par.tuwien.ac.at
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Citata da
Citata da
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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
542017
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
392017
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
292013
Multilevel hierarchical matrix multiplication on clusters
S Hunold, T Rauber, G Rünger
Proceedings of the 18th annual international conference on Supercomputing …, 2004
262004
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
Decomposing MPI collectives for exploiting multi-lane communication
JL Träff, S Hunold
2020 IEEE International Conference on Cluster Computing (CLUSTER), 270-280, 2020
242020
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
222018
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
222015
Automatic tuning of PDGEMM towards optimal performance
S Hunold, T Rauber
Euro-Par 2005 Parallel Processing: 11th International Euro-Par Conference …, 2005
222005
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
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
212014
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
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
202020
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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