PUB - Publikationen an der Universität Bielefeld

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• [6]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983268

  Kortekamp, Marius, Pilz, Sarah, Hagemeyer, Jens, and Rückert, Ulrich. “A Scalable Binary Neural Associative Memory on FPGA”. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala. Cham: Springer Nature Switzerland, 2023. Lecture Notes in Computer Science. 381-393.

  PUB | DOI
   
• [5]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2979269

  Pilz, Sarah, Hellweg, Talea, Harteis, Christian, Rückert, Ulrich, and Schneider, Martin. “Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives”. The Digital Twin of Humans. An Interdisciplinary Concept of Digital Working Environments in Industry 4.0. Ed. Iris Gräßler, Günter W. Maier, Eckhard Steffen, and Daniel Roesmann. Cham: Springer International Publishing, 2023. 11-35.

  PUB | DOI
   
• [4]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2957481

  Porrmann, Florian, Pilz, Sarah, Stella, Alessandra, Kleinjohann, Alexander, Denker, Michael, Hagemeyer, Jens, and Rückert, Ulrich. “Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation”. Frontiers in Neuroinformatics 15.15 (2021): 723406.

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646

  Pilz, Sarah, Porrmann, Florian, Kaiser, Martin, Hagemeyer, Jens, Hogan, James M., and Rückert, Ulrich. “Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs”. Algorithms 13.2 (2020): 47.

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

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

  Kaiser, Martin, Pilz, Sarah, Porrmann, Florian, Hagemeyer, Jens, and Porrmann, Mario. “Accelerating Hamming Distance Comparisons for Locality Sensitive Hashing (LSH) using FPGAs”. 12th CeBiTec Symposium - Big Data in Medicine and Biotechnology - Abstract Book. Bielefeld, 2018.Vol. 12. 48-49.

  PUB | PDF
   
• [1]
  

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

  Kaiser, Martin, Griessl, René, Hagemeyer, Jens, Jungewelter, Dirk, Porrmann, Florian, Pilz, Sarah, Porrmann, Mario, vor dem Berge, Micha, and Krupop, Stefan. “A Reconfigurable Heterogeneous Microserver Architecture for Energy-efficient Computing”. Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17). Denver, CO, 2017.

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