13 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985997Flasskamp, Martin, Klarhorst, Christian, and Hagemeyer, Jens. “Trustworthy System-on-Chip by monitoring system behavior at runtime”. Proceedings of the 1st Safety and Security in Heterogeneous Open System-on-Chip Platforms Workshop (SSH-SoC 2023). Ed. Francesco Restuccia, Biruk Seyoum, Davide Rossi, and Luca Benini. 2023.PUB | PDF | Download (ext.)
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966552Klarhorst, Christian, Quirin, Dennis, Hesse, Marc, and Rückert, Ulrich. “ML4ProFlow: A Framework for Low-Code Data Processing from Edge to Cloud in Industrial Production”. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). Ed. IEEE. Piscataway, NJ: IEEE, 2022.PUB | DOI
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963591Ostrau, Christoph, Klarhorst, Christian, Thies, Michael, and Rückert, Ulrich. “Benchmarking Neuromorphic Hardware and Its Energy Expenditure”. Frontiers in Neuroscience 16 (2022): 873935.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2021 | Konferenzbeitrag | PUB-ID: 2957582Redeker, Magnus, Klarhorst, Christian, Göllner, Denis, Quirin, Dennis, Wißbrock, Peter, Althoff, Simon, and Hesse, Marc. “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, 2021.PUB
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2942322Ostrau, Christoph, Homburg, Jonas Dominik, Klarhorst, Christian, Thies, Michael, and Rückert, Ulrich. “Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware”. 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, Christoph, Klarhorst, Christian, Thies, Michael, and Rückert, Ulrich. “Benchmarking of Neuromorphic Hardware Systems”. Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. Association for Computing Machinery (ACM), 2020. International Conference Proceeding Series (ICPS).PUB | Dateien verfügbar | DOI
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207Ostrau, Christoph, Klarhorst, Christian, Thies, Michael, and Rückert, Ulrich. “Comparing Neuromorphic Systems by Solving Sudoku Problems”. 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, Christoph, Klarhorst, Christian, Thies, Michael, and Rückert, Ulrich. “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, Accepted.PUB | PDF
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979449Gayen, Neela, Ax, Johannes, Flasskamp, Martin, Klarhorst, Christian, Jungeblut, Thorsten, Tang, Maolin, and Kelly, Wayne. “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). Piscataway, NJ: IEEE, 2018. 348-352.PUB | DOI
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2018 | Konferenzbeitrag | PUB-ID: 2921315Klarhorst, Christian, Flasskamp, Martin, Ax, Johannes, Jungeblut, Thorsten, Kelly, Wayne, Porrmann, Mario, and Rückert, Ulrich. “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, 2018.PUB
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900363Flasskamp, Martin, Sievers, Gregor, Ax, Johannes, Klarhorst, Christian, Jungeblut, Thorsten, Kelly, Wayne, Thies, Michael, and Porrmann, Mario. “Performance Estimation of Streaming Applications for Hierarchical MPSoCs”. 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, Wayne, Flasskamp, Martin, Sievers, Gregor, Ax, Johannes, Chen, Jianing, Klarhorst, Christian, Ragg, Christoph, Jungeblut, Thorsten, and Sorensen, Andrew. “A Communication Model and Partitioning Algorithm for Streaming Applications for an Embedded MPSoC”. International Symposium on System-on-Chip (SoC). Tampere, Finland: IEEE, 2014.PUB | DOI | Download (ext.)