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 (Eds.), 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 (Ed.), 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) Piscataway, NJ: IEEE. https://doi.org/10.1109/ETFA52439.2022.9921488PUB | 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, 873935. https://doi.org/10.3389/fnins.2022.873935PUB | 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. Presented at the ETFA 2021 - 26th Annual Conference on Emerging Technologies and Factory Automation, Västerås, Sweden.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. Artificial Neural Networks and Machine Learning – ICANN 2020 Springer International Publishing. https://doi.org/10.1007/978-3-030-61616-8_49PUB | 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. Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany, International Conference Proceeding Series (ICPS) Association for Computing Machinery (ACM). https://doi.org/10.1145/3381755.3381772PUB | 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. Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS) Piscataway, NJ: IEEE. https://doi.org/10.1109/HPCS48598.2019.9188207PUB | Dateien verfügbar | DOI
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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. Presented at the FastPath 2019 - International Workshop on Performance Analysis of Machine Learning Systems, Madison, Wisconsin, USA.PUB | PDF
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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), 348-352. Piscataway, NJ: IEEE. https://doi.org/10.1109/PDP2018.2018.00062PUB | 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. Presented at the 6th International Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES 2018), Manchester, United Kingdom.PUB
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900363Flasskamp, M., Sievers, G., Ax, J., Klarhorst, C., Jungeblut, T., Kelly, W., Thies, M., et al. (2016). Performance Estimation of Streaming Applications for Hierarchical MPSoCs. Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO), 1. New York, NY: ACM Press. doi:10.1145/2852339.2852342PUB | 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., et al. (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.2014.6972436PUB | DOI | Download (ext.)