13 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985997Flasskamp M, Klarhorst C, Hagemeyer J. Trustworthy System-on-Chip by monitoring system behavior at runtime. In: Restuccia F, Seyoum B, Rossi D, Benini L, eds. Proceedings of the 1st Safety and Security in Heterogeneous Open System-on-Chip Platforms Workshop (SSH-SoC 2023). 2023.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966552Klarhorst C, Quirin D, Hesse M, Rückert U. 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; 2022.PUB | DOI
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963591Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking Neuromorphic Hardware and Its Energy Expenditure. Frontiers in Neuroscience. 2022;16: 873935.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2021 | Konferenzbeitrag | PUB-ID: 2957582Redeker M, Klarhorst C, Göllner D, et al. 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 JD, Klarhorst C, Thies M, Rückert U. Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. In: Artificial Neural Networks and Machine Learning – ICANN 2020. Springer International Publishing; 2020.PUB | Dateien verfügbar | DOI | arXiv
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking of Neuromorphic Hardware Systems. In: Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. International Conference Proceeding Series (ICPS). Association for Computing Machinery (ACM); 2020.PUB | Dateien verfügbar | DOI
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207Ostrau C, Klarhorst C, Thies M, Rückert U. Comparing Neuromorphic Systems by Solving Sudoku Problems. In: Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS). Piscataway, NJ: IEEE; Accepted.PUB | Dateien verfügbar | DOI
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2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328Ostrau C, Klarhorst C, Thies M, Rückert U. 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, et al. 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; 2018: 348-352.PUB | DOI
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2018 | Konferenzbeitrag | PUB-ID: 2921315Klarhorst C, Flasskamp M, Ax J, et al. 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, et al. 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; 2016: 1.PUB | PDF | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2753235Kelly W, Flasskamp M, Sievers G, et al. A Communication Model and Partitioning Algorithm for Streaming Applications for an Embedded MPSoC. In: International Symposium on System-on-Chip (SoC). Tampere, Finland: IEEE; 2014.PUB | DOI | Download (ext.)