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Carl Witt
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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
882019
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
312015
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
232017
Feedback-Based Resource Allocation for Batch Scheduling of Scientific Workflows
C Witt, D Wagner, U Leser
International Conference on High Performance Computing & Simulation, 2019
182019
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
102019
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
102016
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
22018
Predictive Resource Management for Scientific Workflows
CP Witt
Humboldt-Universität zu Berlin, 2020
12020
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
12018
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
12015
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
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Articles 1–11