PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982048

  K. Mika, et al., “VEDLIoT. Next generation accelerated AIoT systems and applications”, CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, New York, NY: ACM, 2023, pp.291-296.

  PUB | DOI
   
• [9]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979799

  R. Griessl, et al., “Evaluation of heterogeneous AIoT Accelerators within VEDLIoT”, 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2023, pp.1-6.

  PUB | DOI
   
• [8]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964196

  M. Kaiser, et al., “VEDLIoT: Very Efficient Deep Learning in IoT”, 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, 2022, pp.963-968.

  PUB | DOI
   
• [7]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982047

  B. Salami, et al., “LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing”, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Piscataway, NJ: IEEE, 2020, pp.169-174.

  PUB | DOI
   
• [6]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646

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

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

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982045

  A. Cristal, et al., “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, New York, NY: ACM, 2018, pp.210-217.

  PUB | DOI
   
• [4]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979448

  A. Cristal, et al., “LEGaTO. First steps towards energy-efficient toolset for heterogeneous computing”, Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, T. Mudge, ed., New York, NY, USA: ACM, 2018, pp.210-217.

  PUB | DOI
   
• [3]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955564

  A. Cristal, et al., “LEGaTO Project: Towards Energy-Efficient, Secure, Fault-tolerant Toolset for Heterogeneous Computing.”, Proceedings of the 15th ACM International Conference on Computing Frontiers, D. Kaeli, ed., New York, NY: ACM, 2018, pp.276-278.

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

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

  M. Kaiser, et al., “Accelerating Hamming Distance Comparisons for Locality Sensitive Hashing (LSH) using FPGAs”, 12th CeBiTec Symposium - Big Data in Medicine and Biotechnology - Abstract Book, vol. 12, Bielefeld: 2018, pp.48-49.

  PUB | PDF
   
• [1]
  

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

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

  PUB | PDF | Download (ext.)