PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982048

  Mika, K., Griessl, R., Kucza, N., Porrmann, F., Kaiser, M., Tigges, L., Hagemeyer, J., et al. (2023). VEDLIoT. Next generation accelerated AIoT systems and applications. CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 291-296. New York, NY: ACM. https://doi.org/10.1145/3587135.3592175

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• [9]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979799

  Griessl, R., Porrmann, F., Kucza, N., Mika, K., Hagemeyer, J., Kaiser, M., Porrmann, M., et al. (2023). Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6. IEEE. https://doi.org/10.23919/DATE56975.2023.10137021

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• [8]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196

  Kaiser, M., Griessl, R., Kucza, N., Haumann, C., Tigges, L., Mika, K., Hagemeyer, J., 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 (pp. 963-968). Leuven: European Design and Automation Association. https://doi.org/10.23919/DATE54114.2022.9774653

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• [7]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982047

  Salami, B., Parasyris, K., Cristal, A., Unsal, O., Martorell, X., Carpenter, P., De La Cruz, R., et al. (2020). LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 169-174. Piscataway, NJ: IEEE. https://doi.org/10.23919/DATE48585.2020.9116362

  PUB | DOI
   
• [6]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646

  Pilz, S., Porrmann, F., Kaiser, M., Hagemeyer, J., Hogan, J. M., & Rückert, U. (2020). Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms, 13(2), 47. doi:10.3390/a13020047

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [5]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982045

  Cristal, A., Unsal, O. S., Martorell, X., Carpenter, P., De La Cruz, R., Bautista, L., Jimenez, D., et al. (2018). LEGaTO. First steps towards energy-efficient toolset for heterogeneous computing. SAMOS '18. Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 210-217. New York, NY: ACM. https://doi.org/10.1145/3229631.3239370

  PUB | DOI
   
• [4]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979448

  Cristal, A., Unsal, O. S., Martorell, X., Carpenter, P., De La Cruz, R., Bautista, L., Jimenez, D., et al. (2018). LEGaTO. First steps towards energy-efficient toolset for heterogeneous computing. In T. Mudge (Ed.), Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (pp. 210-217). New York, NY, USA: ACM. https://doi.org/10.1145/3229631.3239370

  PUB | DOI
   
• [3]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955564

  Cristal, A., Unsal, O. S., Martorell, X., Carpenter, P., De La Cruz, R., Bautista, L., Jimenez, D., et al. (2018). LEGaTO Project: Towards Energy-Efficient, Secure, Fault-tolerant Toolset for Heterogeneous Computing. In D. Kaeli (Ed.), Proceedings of the 15th ACM International Conference on Computing Frontiers (pp. 276-278). New York, NY: ACM. https://doi.org/10.1145/3203217.3205339

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• [2]
  

  2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918788

  Kaiser, M., Pilz, S., Porrmann, F., Hagemeyer, J., & Porrmann, M. (2018). Accelerating Hamming Distance Comparisons for Locality Sensitive Hashing (LSH) using FPGAs. 12th CeBiTec Symposium - Big Data in Medicine and Biotechnology - Abstract Book, 12, 48-49. Bielefeld.

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• [1]
  

  2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918683

  Kaiser, M., Griessl, R., Hagemeyer, J., Jungewelter, D., Porrmann, F., Pilz, S., Porrmann, M., et al. (2017). A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing. Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17) Denver, CO.

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