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Alexandre Strube
Alexandre Strube
Helmholtz AI - Forschungszentrum Jülich GmbH
Verified email at surak.eti.br
Title
Cited by
Cited by
Year
Further improving the scalability of the Scalasca toolset
M Geimer, P Saviankou, A Strube, Z Szebenyi, F Wolf, BJN Wylie
International Workshop on Applied Parallel Computing, 463-473, 2010
512010
Exascaling your library: Will your implementation meet your expectations?
S Shudler, A Calotoiu, T Hoefler, A Strube, F Wolf
Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015
302015
How many threads will be too many? On the scalability of OpenMP implementations
C Iwainsky, S Shudler, A Calotoiu, A Strube, M Knobloch, C Bischof, ...
European Conference on Parallel Processing, 451-463, 2015
292015
Remote sensing big data classification with high performance distributed deep learning
R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson
Remote sensing 11 (24), 3056, 2019
242019
10,000 performance models per minute–scalability of the UG4 simulation framework
A Vogel, A Calotoiu, A Strube, S Reiter, A Nägel, F Wolf, G Wittum
European Conference on Parallel Processing, 519-531, 2015
142015
Software probes: Towards a quick method for machine characterization and application performance prediction
A Strube, D Rexachs, E Luque
2008 International Symposium on Parallel and Distributed Computing, 23-30, 2008
142008
Extending Scalasca’s analysis features
D Lorenz, D Böhme, B Mohr, A Strube, Z Szebenyi
Tools for High Performance Computing 2012, 115-126, 2013
132013
Catwalk: A Quick Development Path for Performance Models
AV F. Wolf, C. Bischof, T. Hoefler, B. Mohr, G. Wittum, A. Calotoiu, C ...
Euro-Par 2014: Parallel Processing Workshops, 2014
8*2014
SCALING UP A MULTISPECTRAL RESNET-50 TO 128 GPUS
R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, M Book
62020
Automatic performance modeling of hpc applications
F Wolf, C Bischof, A Calotoiu, T Hoefler, C Iwainsky, G Kwasniewski, ...
Software for Exascale Computing-SPPEXA 2013-2015, 445-465, 2016
62016
Software probes: A method for quickly characterizing applications' performance on heterogeneous environments
AO Strube, D Rexachs, E Luque
2009 International Conference on Parallel Processing Workshops, 262-269, 2009
62009
Automated performance modeling of the ug4 simulation framework
A Vogel, A Calotoiu, A Nägel, S Reiter, A Strube, G Wittum, F Wolf
Software for Exascale Computing-SPPEXA 2013-2015, 467-481, 2016
52016
Engineering algorithms for scalability through continuous validation of performance expectations
S Shudler, Y Berens, A Calotoiu, T Hoefler, A Strube, F Wolf
IEEE Transactions on Parallel and Distributed Systems 30 (8), 1768-1785, 2019
42019
JUWELS Booster–A Supercomputer for Large-Scale AI Research
S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ...
International Conference on High Performance Computing, 453-468, 2021
12021
JUWELS Booster–A Supercomputer for Large-Scale AI Research
J Jitsev, M Cherti, M Langguth, B Gong, S Stadtler, A Mozaffari, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
2021
Developing Exascale Computing at JSC
E Suarez, W Frings, S Achilles, N Attig, J de Amicis, E Di Napoli, ...
NIC Symposium 2020 50, 428, 2020
2020
Exascaling Your Library
S Shudler, A Calotoiu, T Hoefler, A Strube, F Wolf
29th International Conference on Supercomputing, 2015
2015
Performance evaluation of applications for heterogeneous systems by means of performance probes
A Otto Strube
Universitat Autònoma de Barcelona,, 2015
2015
Introduction to Scalasca: A Performance Analysis Toolset for Parallel Programs
A Strube
Free and Open Source Software Developers' European Meeting, 2014
2014
Improving Probe Usability
A Strube, D Rexachs, E Luque
2011 IEEE Workshops of International Conference on Advanced Information …, 2011
2011
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