PUB - Publikationen an der Universität Bielefeld

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• [6]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983268

  Kortekamp, M., et al., 2023. A Scalable Binary Neural Associative Memory on FPGA. In I. Rojas, G. Joya, & A. Catala, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 381-393.

  PUB | DOI
   
• [5]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2979269

  Pilz, S., et al., 2023. Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives. In I. Gräßler, et al., eds. The Digital Twin of Humans. An Interdisciplinary Concept of Digital Working Environments in Industry 4.0. Cham: Springer International Publishing, pp. 11-35.

  PUB | DOI
   
• [4]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957481

  Porrmann, F., et al., 2021. Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. Frontiers in Neuroinformatics, 15(15): 723406.

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646

  Pilz, S., et al., 2020. Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms, 13(2): 47.

  PUB | PDF | DOI | Download (ext.) | WoS
   
• [2]
  

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

  Kaiser, M., et al., 2018. Accelerating Hamming Distance Comparisons for Locality Sensitive Hashing (LSH) using FPGAs. In 12th CeBiTec Symposium - Big Data in Medicine and Biotechnology - Abstract Book. no.12 Bielefeld, pp. 48-49.

  PUB | PDF
   
• [1]
  

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

  Kaiser, M., et al., 2017. A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing. In Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17). Denver, CO.

  PUB | PDF | Download (ext.)