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 F. Restuccia, B. Seyoum, D. Rossi & L. Benini (Hrsg.), Proceedings of the 1st Safety and Security in Heterogeneous Open System-on-Chip Platforms Workshop (SSH-SoC 2023). Gehalten auf der 1st Safety and Security in Heterogeneous Open System-on-Chip Platforms Workshop.
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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). Gehalten auf der 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, NJ: IEEE. doi:10.1109/ETFA52439.2022.9921488.
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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: 873935. Frontiers Media . doi:10.3389/fnins.2022.873935.
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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. Gehalten auf der ETFA 2021 - 26th Annual Conference on Emerging Technologies and Factory Automation.
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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. Artificial Neural Networks and Machine Learning – ICANN 2020. Gehalten auf der ICANN 2020, Springer International Publishing. doi:10.1007/978-3-030-61616-8_49.
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831Ostrau, C., Klarhorst, C., Thies, M. & Rückert, U. (2020). Benchmarking of Neuromorphic Hardware Systems (International Conference Proceeding Series (ICPS). Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. Gehalten auf der 8th Annual Neuro-Inspired Computational Elements (NICE) Workshop, Association for Computing Machinery (ACM). doi:10.1145/3381755.3381772.
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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. Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS). Gehalten auf der 2019 International Conference on High Performance Computing & Simulation (HPCS), Piscataway, NJ: IEEE. doi:10.1109/HPCS48598.2019.9188207.
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2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328Ostrau, C., Klarhorst, C., Thies, M. & Rückert, U. (Accepted). Benchmarking and Characterization of event-based Neuromorphic Hardware. Gehalten auf der FastPath 2019 - International Workshop on Performance Analysis of Machine Learning Systems.
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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. 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2018) (S. 348-352). Gehalten auf der 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Piscataway, NJ: IEEE. doi:10.1109/PDP2018.2018.00062.
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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. Gehalten auf der 6th International Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES 2018).
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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. Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO) (S. 1). New York, NY: ACM Press. doi:10.1145/2852339.2852342.
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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. International Symposium on System-on-Chip (SoC). Tampere, Finland: IEEE. doi:10.1109/ISSOC.2014.6972436.