Calotoiu Alexandru
Title
Cited by
Cited by
Year
Using automated performance modeling to find scalability bugs in complex codes
A Calotoiu, T Hoefler, M Poke, F Wolf
Proceedings of the International Conference on High Performance Computing …, 2013
1332013
Fast multi-parameter performance modeling
A Calotoiu, D Beckinsale, CW Earl, T Hoefler, I Karlin, M Schulz, F Wolf
2016 IEEE International Conference on Cluster Computing (CLUSTER), 172-181, 2016
402016
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
242015
Following the blind seer–creating better performance models using less information
P Reisert, A Calotoiu, S Shudler, F Wolf
European Conference on Parallel Processing, 106-118, 2017
172017
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
172015
Isoefficiency in practice: configuring and understanding the performance of task-based applications
S Shudler, A Calotoiu, T Hoefler, F Wolf
ACM SIGPLAN Notices 52 (8), 131-143, 2017
162017
Off-road performance modeling–how to deal with segmented data
MK Ilyas, A Calotoiu, F Wolf
European Conference on Parallel Processing, 36-48, 2017
142017
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
122015
Catwalk: a quick development path for performance models
F Wolf, C Bischof, T Hoefler, B Mohr, G Wittum, A Calotoiu, C Iwainsky, ...
European Conference on Parallel Processing, 589-600, 2014
82014
Lightweight requirements engineering for exascale co-design
A Calotoiu, A Graf, T Hoefler, D Lorenz, S Rinke, F Wolf
2018 IEEE International Conference on Cluster Computing (CLUSTER), 201-211, 2018
62018
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
52016
Learning cost-effective sampling strategies for empirical performance modeling
M Ritter, A Calotoiu, S Rinke, T Reimann, T Hoefler, F Wolf
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
42020
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
42016
Mass-producing insightful performance models
A Calotoiu, T Hoefler, F Wolf
Workshop on Modeling and Simulation of Systems and Applications. University …, 2014
32014
Extrapeak: Advanced automatic performance modeling for HPC applications
A Calotoiu, M Copik, T Hoefler, M Ritter, S Shudler, F Wolf
Software for Exascale Computing-SPPEXA 2016-2019, 453-482, 2020
22020
Automatic instrumentation refinement for empirical performance modeling
JP Lehr, A Calotoiu, C Bischof, F Wolf
2019 IEEE/ACM International Workshop on Programming and Performance …, 2019
22019
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
22019
Exploring the performance envelope of the LLL algorithm
M Burger, C Bischof, A Calotoiu, T Wunderer, F Wolf
2018 IEEE International Conference on Computational Science and Engineering …, 2018
22018
Automatic Empirical Performance Modeling of Parallel Programs
A Calotoiu
Technische Universität, 2018
22018
Pattern-independent detection of manual collectives in MPI programs
A Calotoiu, C Siebert, F Wolf
European Conference on Parallel Processing, 28-39, 2012
22012
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Articles 1–20