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Marcus Ritter
Marcus Ritter
Research Scientist at ABB Corporate Research Center Germany
Verified email at de.abb.com
Title
Cited by
Cited by
Year
Dynamic, automated fulfillment of computer-based resource request provisioning using deep reinforcement learning
M Ritter, O Hickey-Moriarty, B Yalcin
US Patent 11,423,295, 2022
222022
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
212020
Generating artificial training data for machine-learning
M Ritter, O Hickey-Moriarty, B Yalcin
US Patent App. 16/046,863, 2020
112020
Noise-resilient empirical performance modeling with deep neural networks
M Ritter, A Geiß, J Wehrstein, A Calotoiu, T Reimann, T Hoefler, F Wolf
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
92021
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
92020
Conquering noise with hardware counters on hpc systems
M Ritter, A Tarraf, A Geiß, N Daoud, B Mohr, F Wolf
2022 IEEE/ACM Workshop on Programming and Performance Visualization Tools …, 2022
42022
Low-Latency Real-Time Applications on Heterogeneous MPSoCs
N Coppik, P Becker, M Ritter
Sixth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2025 …, 2025
2025
Extra-Deep: Automated Empirical Performance Modeling for Distributed Deep Learning
M Ritter, F Wolf
Proceedings of the SC'23 Workshops of the International Conference on High …, 2023
2023
Dynamic, automated fulfillment of computer-based resource request provisioning using deep reinforcement learning
M Ritter, O Hickey-Moriarty, B Yalcin
US Patent App. 17/859,883, 2022
2022
Empirical Modeling of Spatially Diverging Performance
A Calotoiu, M Geisenhofer, F Kummer, M Ritter, J Weber, T Hoefler, ...
2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and …, 2020
2020
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