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ORCIDCarl Witt
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2020 – today
- 2020
[b1]Carl Witt:
Predictive Resource Management for Scientific Workflows. Humboldt University of Berlin, Germany, 2020
2010 – 2019
- 2019
- [j2]Carl Witt
, Marc Bux, Wladislaw Gusew, Ulf Leser:
Predictive performance modeling for distributed batch processing using black box monitoring and machine learning. Inf. Syst. 82: 33-52 (2019) - [c4]Carl Witt, Jakob van Santen, Ulf Leser:
Learning Low-Wastage Memory Allocations for Scientific Workflows at IceCube. HPCS 2019: 233-240 - [c3]Carl Witt, Dennis Wagner, Ulf Leser:
Feedback-Based Resource Allocation for Batch Scheduling of Scientific Workflows. HPCS 2019: 761-768 - 2018
- [c2]Carl Witt, Dennis Wagner, Ulf Leser:
POS: Online Learning for Memory-Aware Scheduling of Scientific Workflows. eScience 2018: 399-400 - [i1]Carl Witt, Marc Bux, Wladislaw Gusew, Ulf Leser:
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning. CoRR abs/1805.11877 (2018) - 2017
- [c1]Marc Bux, Jörgen Brandt, Carl Witt, Jim Dowling, Ulf Leser:
Hi-WAY: Execution of Scientific Workflows on Hadoop YARN. EDBT 2017: 668-679 - 2015
- [j1]Patrick Köthur, Carl Witt, Mike Sips, Norbert Marwan, Stefan Schinkel, Doris Dransch:
Visual Analytics for Correlation-Based Comparison of Time Series Ensembles. Comput. Graph. Forum 34(3): 411-420 (2015)
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