Predictive performance modeling for distributed batch processing using black box monitoring and machine learning C Witt, M Bux, W Gusew, U Leser Information Systems, 2019 | 101 | 2019 |
Visual analytics for correlation‐based comparison of time series ensembles P Köthur, C Witt, M Sips, N Marwan, S Schinkel, D Dransch Computer Graphics Forum 34 (3), 411-420, 2015 | 33 | 2015 |
Hi-WAY: Execution of Scientific Workflows on Hadoop YARN M Bux, J Brandt, C Witt, J Dowling, U Leser International Conference on Extending Database Technology, 668-679, 2017 | 26 | 2017 |
Feedback-Based Resource Allocation for Batch Scheduling of Scientific Workflows C Witt, D Wagner, U Leser International Conference on High Performance Computing & Simulation, 2019 | 22 | 2019 |
Learning Low-Wastage Memory Allocations for Scientific Workflows at IceCube C Witt, J van Santen, U Leser International Conference on High Performance Computing & Simulation, 2019 | 14 | 2019 |
Torwards visual analytics for the exploration of large sets of time series M Sips, C Witt, T Rawald, N Marwan Recurrence Plots and Their Quantifications: Expanding Horizons: Proceedings …, 2016 | 10 | 2016 |
LOS: Level Order Sampling for Task Graph Scheduling on Heterogeneous Resources C Witt, S Wheating, U Leser Workflows in Support of Large Scale Science @ SC18, 2018 | 2 | 2018 |
Predictive Resource Management for Scientific Workflows CP Witt Humboldt-Universität zu Berlin, 2020 | 1 | 2020 |
POS: Online learning for memory-aware scheduling of scientific workflows C Witt, D Wagner, U Leser 2018 IEEE 14th International Conference on e-Science (e-Science), 399-400, 2018 | 1 | 2018 |
Analysing the degree of replication of palaeoclimate records N Marwan, P Koethur, C Witt, SFM Breitenbach, M Sips EGU General Assembly Conference Abstracts, 4960, 2015 | 1 | 2015 |
Visual analytics for correlation-based comparison of time series ensembles: concept and demonstration of prototype (video presentation) P Köthur, C Witt, M Sips, N Marwan, S Schinkel, D Dransch | | 2016 |