9 Publikationen

Alle markieren

  • [9]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2963591 OA
    Ostrau, 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.2022.873935
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [8]
    2021 | Konferenzbeitrag | PUB-ID: 2960507
    Becker, 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 Microelectronics
    PUB
     
  • [7]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2942322
    Ostrau, 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_49
    PUB | Dateien verfügbar | DOI | arXiv
     
  • [6]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831
    Ostrau, 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/10.1145/3381755.3381772
    PUB | Dateien verfügbar | DOI
     
  • [5]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362
    Homburg, 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_61
    PUB | DOI
     
  • [4]
    2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207
    Ostrau, 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/HPCS48598.2019.9188207
    PUB | Dateien verfügbar | DOI
     
  • [3]
    2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328 OA
    Ostrau, 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
     
  • [2]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2913968 OA
    Stöckel, 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.2017.00071
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [1]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900363 OA
    Flasskamp, 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:10.1145/2852339.2852342
    PUB | PDF | DOI
     

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