PUB - Publikationen an der Universität Bielefeld

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• [9]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993643

  Porrmann, F., Hagemeyer, J., and Porrmann, M. (2024). HLS-Based Large Scale Self-Organizing Feature Maps. IEEE Access 12, 142459-142474.

  PUB | PDF | DOI | WoS
   
• [8]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983518

  Mika, K., Porrmann, F., Kucza, N., Griessl, R., and Hagemeyer, J. (2023). “RECS: A Scalable Platform for Heterogeneous Computing” in 2023 IEEE 36th International System-on-Chip Conference (SOCC) (Piscataway, NJ: IEEE), 1-6.

  PUB | PDF | DOI
   
• [7]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979799

  Griessl, R., Porrmann, F., Kucza, N., Mika, K., Hagemeyer, J., Kaiser, M., Porrmann, M., Tassemeier, M., Flottmann, M., Qararyah, F., et al. (2023). “Evaluation of heterogeneous AIoT Accelerators within VEDLIoT” in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) (IEEE), 1-6.

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• [6]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982048

  Mika, K., Griessl, R., Kucza, N., Porrmann, F., Kaiser, M., Tigges, L., Hagemeyer, J., Trancoso, P., Azhar, M. W., Qararyah, F., 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), 291-296.

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• [5]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196

  Kaiser, M., Griessl, R., Kucza, N., Haumann, C., Tigges, L., Mika, K., Hagemeyer, J., Porrmann, F., Rückert, U., vor dem Berge, M., et al. (2022). “VEDLIoT: Very Efficient Deep Learning in IoT” in DATE '22: Proceedings of the 2022 Conference & Exhibition on Design, Automation & Test in Europe, Institut of Electrical and Electronics Engineers (IEEE) ed. (Leuven: European Design and Automation Association), 963-968.

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• [4]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957481

  Porrmann, F., Pilz, S., Stella, A., Kleinjohann, A., Denker, M., Hagemeyer, J., and Rückert, U. (2021). Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. Frontiers in Neuroinformatics 15:723406.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [3]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646

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

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• [2]
  

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

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

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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., vor dem Berge, M., and Krupop, S. (2017). “A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing” in Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17) (Denver, CO).

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