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 | 133 | 2013 |
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 | 39 | 2016 |
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 | 24 | 2015 |
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 | 17 | 2017 |
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 | 17 | 2015 |
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 | 16 | 2017 |
Off-road performance modeling–how to deal with segmented data MK Ilyas, A Calotoiu, F Wolf European Conference on Parallel Processing, 36-48, 2017 | 14 | 2017 |
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 | 12 | 2015 |
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 | 8 | 2014 |
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 | 6 | 2018 |
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 | 5 | 2016 |
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 | 4 | 2020 |
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 | 4 | 2016 |
Mass-producing insightful performance models A Calotoiu, T Hoefler, F Wolf Workshop on Modeling and Simulation of Systems and Applications. University …, 2014 | 3 | 2014 |
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 | 2 | 2020 |
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 | 2 | 2019 |
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 | 2 | 2019 |
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 | 2 | 2018 |
Automatic Empirical Performance Modeling of Parallel Programs A Calotoiu Technische Universität, 2018 | 2 | 2018 |
Pattern-independent detection of manual collectives in MPI programs A Calotoiu, C Siebert, F Wolf European Conference on Parallel Processing, 28-39, 2012 | 2 | 2012 |