9 Publikationen
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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: 2960507Becker, K. - F., Voges, S., Fruehauf, P., Heimann, M., Nerreter, S., Blank, R., Erdmann, M., et al. (2021). Implementation of Trusted Manufacturing & AI-based process optimization into microelectronic manufacturing research environments. Proceedings of the 54th IMAPS International Symposium on MicroelectronicsPUB
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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 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362Homburg, J. D., Adams, M., Thies, M., Korthals, T., Hesse, M., & Rückert, U. (2019). Constraint Exploration of Convolutional Network Architectures with Neuroevolution. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science: Vol. 11507. Advances in Computational Intelligence. IWANN 2019 (pp. 735-746). Cham: Springer. https://doi.org/10.1007/978-3-030-20518-8_61PUB | 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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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913968Stöckel, A., Jenzen, C., Thies, M., & Rückert, U. (2017). Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware. Frontiers in Computational Neuroscience, 11, 71. doi:10.3389/fncom.2017.00071PUB | PDF | DOI | WoS | PubMed | Europe PMC
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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