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, ... Euro-Par 2015: Parallel Processing: 21st International Conference on …, 2015 | 35 | 2015 |
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 | 31 | 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 | 27 | 2017 |
Following the blind seer–creating better performance models using less information P Reisert, A Calotoiu, S Shudler, F Wolf Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 20 | 2017 |
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 | 8 | 2020 |
Improving performance of m-to-n processing and data redistribution in in transit analysis and visualization B Loring, M Wolf, J Kress, S Shudler, J Gu, S Rizzi, J Logan, N Ferrier, ... | 7 | 2020 |
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 | 7 | 2016 |
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 | 6 | 2019 |
The effects of untruthful bids on user utilities and stability in computing markets S Shudler, L Amar, A Barak, A Mu'alem 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid …, 2010 | 5 | 2010 |
Using answer set programming for HPC dependency solving T Gamblin, M Culpo, G Becker, S Shudler SC22: International Conference for High Performance Computing, Networking …, 2022 | 4 | 2022 |
Spack meets singularity: creating movable in-situ analysis stacks with ease S Shudler, N Ferrier, J Insley, ME Papka, S Rizzi Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme …, 2019 | 3 | 2019 |
Fast Mesh Validation in Combustion Simulations through In-Situ Visualization. S Shudler, NJ Ferrier, JA Insley, ME Papka, S Patel, S Rizzi EGPGV@ EuroVis, 7-16, 2019 | 3 | 2019 |
Understanding the scalability of molecular simulation using empirical performance modeling S Shudler, J Vrabec, F Wolf International Workshop on Extreme-Scale Programming Tools, 125-143, 2017 | 3 | 2017 |
Preventing the explosion of exascale profile data with smart thread-level aggregation D Lorenz, S Shudler, F Wolf Proceedings of the 4th Workshop on Extreme Scale Programming Tools, 1-10, 2015 | 3 | 2015 |
Scalability Engineering for Parallel Programs Using Empirical Performance Models S Shudler Technische Universität Darmstadt, 2018 | 1 | 2018 |
Streaming Statistics S Shudler, PT Bremer Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2022 | | 2022 |
Portable and Composable Flow Graphs for In Situ Analytics S Shudler, S Petruzza, V Pascucci, PT Bremer 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), 63-72, 2021 | | 2021 |
Exascaling Your Library S Shudler, A Calotoiu, T Hoefler, A Strube, F Wolf 29th International Conference on Supercomputing, 2015 | | 2015 |