13 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985997Flasskamp, M.; Klarhorst, C.; Hagemeyer, J. (2023): Trustworthy System-on-Chip by monitoring system behavior at runtime. In: Francesco Restuccia; Biruk Seyoum; Davide Rossi; Luca Benini (Hrsg.): Proceedings of the 1st Safety and Security in Heterogeneous Open System-on-Chip Platforms Workshop (SSH-SoC 2023).PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966552Klarhorst, C.; Quirin, D.; Hesse, M.; Rückert, U. (2022): ML4ProFlow: A Framework for Low-Code Data Processing from Edge to Cloud in Industrial Production. In: IEEE (Hrsg.): 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE.PUB | DOI
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963591Ostrau, C.; Klarhorst, C.; Thies, M.; Rückert, U. (2022): Benchmarking Neuromorphic Hardware and Its Energy Expenditure Frontiers in Neuroscience,16:873935PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2021 | Konferenzbeitrag | PUB-ID: 2957582Redeker, M.; Klarhorst, C.; Göllner, D.; Quirin, D.; Wißbrock, P.; Althoff, S.; Hesse, M. (2021): Towards an Autonomous Application of Smart Services in Industry 4.0.PUB
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2942322Ostrau, C.; Homburg, J. D.; Klarhorst, C.; Thies, M.; Rückert, U. (2020): Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. In: Artificial Neural Networks and Machine Learning – ICANN 2020. Springer International Publishing.PUB | Dateien verfügbar | DOI | arXiv
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831Ostrau, C.; Klarhorst, C.; Thies, M.; Rückert, U. (2020): Benchmarking of Neuromorphic Hardware Systems. In: Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. Association for Computing Machinery (ACM). (International Conference Proceeding Series (ICPS), ).PUB | Dateien verfügbar | DOI
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207Ostrau, C.; Klarhorst, C.; Thies, M.; Rückert, U. (Accepted): Comparing Neuromorphic Systems by Solving Sudoku Problems. In: Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS). Piscataway, NJ: IEEE.PUB | Dateien verfügbar | DOI
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979449Gayen, N.; Ax, J.; Flasskamp, M.; Klarhorst, C.; Jungeblut, T.; Tang, M.; Kelly, W. (2018): Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming. In: 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2018). Piscataway, NJ: IEEE. S. 348-352.PUB | DOI
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2018 | Konferenzbeitrag | PUB-ID: 2921315Klarhorst, C.; Flasskamp, M.; Ax, J.; Jungeblut, T.; Kelly, W.; Porrmann, M.; Rückert, U. (2018): Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems.PUB
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900363Flasskamp, M.; Sievers, G.; Ax, J.; Klarhorst, C.; Jungeblut, T.; Kelly, W.; Thies, M.; Porrmann, M. (2016): Performance Estimation of Streaming Applications for Hierarchical MPSoCs. In: Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO). New York, NY: ACM Press. S. 1.PUB | PDF | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2753235Kelly, W.; Flasskamp, M.; Sievers, G.; Ax, J.; Chen, J.; Klarhorst, C.; Ragg, C.; Jungeblut, T.; Sorensen, A. (2014): A Communication Model and Partitioning Algorithm for Streaming Applications for an Embedded MPSoC. In: International Symposium on System-on-Chip (SoC). Tampere, Finland: IEEE.PUB | DOI | Download (ext.)