6 Publikationen

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  • [6]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983268
    Kortekamp, M., Pilz, S., Hagemeyer, J., & Rückert, U. (2023). A Scalable Binary Neural Associative Memory on FPGA. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (pp. 381-393). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43085-5_30
    PUB | DOI
     
  • [5]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2979269
    Pilz, S., Hellweg, T., Harteis, C., Rückert, U., & Schneider, M. (2023). Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives. In I. Gräßler, G. W. Maier, E. Steffen, & D. Roesmann (Eds.), The Digital Twin of Humans. An Interdisciplinary Concept of Digital Working Environments in Industry 4.0 (pp. 11-35). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-26104-6_2
    PUB | DOI
     
  • [4]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957481 OA
    Porrmann, F., Pilz, S., Stella, A., Kleinjohann, A., Denker, M., Hagemeyer, J., & Rückert, U. (2021). Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. Frontiers in Neuroinformatics, 15(15), 723406. https://doi.org/10.3389/fninf.2021.723406
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [3]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646 OA
    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
     
  • [2]
    2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918788 OA
    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.
    PUB | PDF
     
  • [1]
    2017 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2918683 OA
    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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