PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983518

  Mika, K., et al., 2023. RECS: A Scalable Platform for Heterogeneous Computing. In 2023 IEEE 36th International System-on-Chip Conference (SOCC). IEEE, pp. 1-6.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982048

  Mika, K., et al., 2023. VEDLIoT. Next generation accelerated AIoT systems and applications. In CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers. New York, NY: ACM, pp. 291-296.

  PUB | DOI
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979799

  Griessl, R., et al., 2023. Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, pp. 1-6.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196

  Kaiser, M., et al., 2022. VEDLIoT: Very Efficient Deep Learning in IoT. In Institut of Electrical and Electronics Engineers (IEEE), ed. DATE '22: Proceedings of the 2022 Conference & Exhibition on Design, Automation & Test in Europe. Leuven: European Design and Automation Association, pp. 963-968.

  PUB | DOI
   
• [1]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982047

  Salami, B., et al., 2020. LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). Piscataway, NJ: IEEE, pp. 169-174.

  PUB | DOI