---
_id: '59804'
author:
- first_name: Linus
  full_name: Jungemann, Linus
  id: '67601'
  last_name: Jungemann
  orcid: 0009-0003-9757-988X
- first_name: Bjarne
  full_name: Wintermann, Bjarne
  last_name: Wintermann
- first_name: Heinrich
  full_name: Riebler, Heinrich
  id: '8961'
  last_name: Riebler
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
citation:
  ama: 'Jungemann L, Wintermann B, Riebler H, Plessl C. FINN-HPC: Closing the Gap
    for Energy-Efficient Neural Network Inference on FPGAs in HPC. In: <i>Proceedings
    of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies</i>. ACM; 2025. doi:<a href="https://doi.org/10.1145/3728179.3728189">10.1145/3728179.3728189</a>'
  apa: 'Jungemann, L., Wintermann, B., Riebler, H., &#38; Plessl, C. (2025). FINN-HPC:
    Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC.
    <i>Proceedings of the 15th International Symposium on Highly Efficient Accelerators
    and Reconfigurable Technologies</i>. The International Symposium on Highly Efficient
    Accelerators and Reconfigurable Technologies 2025 (HEART 2025), Kumamoto, Japan.
    <a href="https://doi.org/10.1145/3728179.3728189">https://doi.org/10.1145/3728179.3728189</a>'
  bibtex: '@inproceedings{Jungemann_Wintermann_Riebler_Plessl_2025, place={New York
    City}, title={FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference
    on FPGAs in HPC}, DOI={<a href="https://doi.org/10.1145/3728179.3728189">10.1145/3728179.3728189</a>},
    booktitle={Proceedings of the 15th International Symposium on Highly Efficient
    Accelerators and Reconfigurable Technologies}, publisher={ACM}, author={Jungemann,
    Linus and Wintermann, Bjarne and Riebler, Heinrich and Plessl, Christian}, year={2025}
    }'
  chicago: 'Jungemann, Linus, Bjarne Wintermann, Heinrich Riebler, and Christian Plessl.
    “FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs
    in HPC.” In <i>Proceedings of the 15th International Symposium on Highly Efficient
    Accelerators and Reconfigurable Technologies</i>. New York City: ACM, 2025. <a
    href="https://doi.org/10.1145/3728179.3728189">https://doi.org/10.1145/3728179.3728189</a>.'
  ieee: 'L. Jungemann, B. Wintermann, H. Riebler, and C. Plessl, “FINN-HPC: Closing
    the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC,” presented
    at the The International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies 2025 (HEART 2025), Kumamoto, Japan, 2025, doi: <a href="https://doi.org/10.1145/3728179.3728189">10.1145/3728179.3728189</a>.'
  mla: 'Jungemann, Linus, et al. “FINN-HPC: Closing the Gap for Energy-Efficient Neural
    Network Inference on FPGAs in HPC.” <i>Proceedings of the 15th International Symposium
    on Highly Efficient Accelerators and Reconfigurable Technologies</i>, ACM, 2025,
    doi:<a href="https://doi.org/10.1145/3728179.3728189">10.1145/3728179.3728189</a>.'
  short: 'L. Jungemann, B. Wintermann, H. Riebler, C. Plessl, in: Proceedings of the
    15th International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies, ACM, New York City, 2025.'
conference:
  end_date: 2025-05-28
  location: Kumamoto, Japan
  name: The International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies 2025 (HEART 2025)
  start_date: 2025-05-26
date_created: 2025-05-05T11:12:47Z
date_updated: 2025-06-23T08:39:26Z
department:
- _id: '518'
doi: 10.1145/3728179.3728189
language:
- iso: eng
place: New York City
project:
- _id: '296'
  name: 'EKI-App: EKI-App: Energieeffiziente Künstliche Intelligenz im Rechenzentrum
    durch Approximation von tiefen neuronalen Netzen für Field-Programmable Gate Arrays'
publication: Proceedings of the 15th International Symposium on Highly Efficient Accelerators
  and Reconfigurable Technologies
publication_identifier:
  unknown:
  - 979-8-4007-1432-0/25/05
publication_status: published
publisher: ACM
status: public
title: 'FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on
  FPGAs in HPC'
type: conference
user_id: '67601'
year: '2025'
...
---
_id: '59816'
author:
- first_name: Gerrit
  full_name: Pape, Gerrit
  last_name: Pape
- first_name: Bjarne
  full_name: Wintermann, Bjarne
  id: '62900'
  last_name: Wintermann
  orcid: 0009-0000-0856-6250
- first_name: Linus
  full_name: Jungemann, Linus
  id: '67601'
  last_name: Jungemann
  orcid: 0009-0003-9757-988X
- first_name: Michael
  full_name: Lass, Michael
  last_name: Lass
- first_name: Marius
  full_name: Meyer, Marius
  last_name: Meyer
- first_name: Heinrich
  full_name: Riebler, Heinrich
  id: '8961'
  last_name: Riebler
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
citation:
  ama: 'Pape G, Wintermann B, Jungemann L, et al. AuroraFlow, an Easy-to-Use, Low-Latency
    FPGA Communication Solution Demonstrated on Multi-FPGA Neural Network Inference.
    In: <i>Proceedings of the 15th International Symposium on Highly Efficient Accelerators
    and Reconfigurable Technologies</i>. ; 2025. doi:<a href="https://doi.org/10.1145/3728179.3728190">10.1145/3728179.3728190</a>'
  apa: Pape, G., Wintermann, B., Jungemann, L., Lass, M., Meyer, M., Riebler, H.,
    &#38; Plessl, C. (2025). AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication
    Solution Demonstrated on Multi-FPGA Neural Network Inference. <i>Proceedings of
    the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies</i>. The International Symposium on Highly Efficient Accelerators
    and Reconfigurable Technologies 2025 (HEART 2025) , Kumamoto, Japan. <a href="https://doi.org/10.1145/3728179.3728190">https://doi.org/10.1145/3728179.3728190</a>
  bibtex: '@inproceedings{Pape_Wintermann_Jungemann_Lass_Meyer_Riebler_Plessl_2025,
    title={AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication Solution Demonstrated
    on Multi-FPGA Neural Network Inference}, DOI={<a href="https://doi.org/10.1145/3728179.3728190">10.1145/3728179.3728190</a>},
    booktitle={Proceedings of the 15th International Symposium on Highly Efficient
    Accelerators and Reconfigurable Technologies}, author={Pape, Gerrit and Wintermann,
    Bjarne and Jungemann, Linus and Lass, Michael and Meyer, Marius and Riebler, Heinrich
    and Plessl, Christian}, year={2025} }'
  chicago: Pape, Gerrit, Bjarne Wintermann, Linus Jungemann, Michael Lass, Marius
    Meyer, Heinrich Riebler, and Christian Plessl. “AuroraFlow, an Easy-to-Use, Low-Latency
    FPGA Communication Solution Demonstrated on Multi-FPGA Neural Network Inference.”
    In <i>Proceedings of the 15th International Symposium on Highly Efficient Accelerators
    and Reconfigurable Technologies</i>, 2025. <a href="https://doi.org/10.1145/3728179.3728190">https://doi.org/10.1145/3728179.3728190</a>.
  ieee: 'G. Pape <i>et al.</i>, “AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication
    Solution Demonstrated on Multi-FPGA Neural Network Inference,” presented at the
    The International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies 2025 (HEART 2025) , Kumamoto, Japan, 2025, doi: <a href="https://doi.org/10.1145/3728179.3728190">10.1145/3728179.3728190</a>.'
  mla: Pape, Gerrit, et al. “AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication
    Solution Demonstrated on Multi-FPGA Neural Network Inference.” <i>Proceedings
    of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies</i>, 2025, doi:<a href="https://doi.org/10.1145/3728179.3728190">10.1145/3728179.3728190</a>.
  short: 'G. Pape, B. Wintermann, L. Jungemann, M. Lass, M. Meyer, H. Riebler, C.
    Plessl, in: Proceedings of the 15th International Symposium on Highly Efficient
    Accelerators and Reconfigurable Technologies, 2025.'
conference:
  end_date: 2025-05-28
  location: Kumamoto, Japan
  name: 'The International Symposium on Highly Efficient Accelerators and Reconfigurable
    Technologies 2025 (HEART 2025) '
  start_date: 2025-05-26
date_created: 2025-05-06T09:53:41Z
date_updated: 2025-06-23T08:40:28Z
department:
- _id: '27'
doi: 10.1145/3728179.3728190
language:
- iso: eng
project:
- _id: '296'
  name: 'EKI-App: EKI-App: Energieeffiziente Künstliche Intelligenz im Rechenzentrum
    durch Approximation von tiefen neuronalen Netzen für Field-Programmable Gate Arrays'
publication: Proceedings of the 15th International Symposium on Highly Efficient Accelerators
  and Reconfigurable Technologies
publication_status: published
status: public
title: AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication Solution Demonstrated
  on Multi-FPGA Neural Network Inference
type: conference
user_id: '67601'
year: '2025'
...