FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC
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.
Download
Es wurde kein Volltext hochgeladen.
Konferenzbeitrag
| Veröffentlicht
| Englisch
Autor*in
Einrichtung
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
Konferenz
The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies 2025 (HEART 2025)
Konferenzort
Kumamoto, Japan
Konferenzdatum
2025-05-26 – 2025-05-28
LibreCat-ID
Zitieren
Jungemann L, Wintermann B, Riebler H, Plessl C. FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC. In: Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM; 2025. doi:10.1145/3728179.3728189
Jungemann, L., Wintermann, B., Riebler, H., & Plessl, C. (2025). FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC. Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies 2025 (HEART 2025), Kumamoto, Japan. https://doi.org/10.1145/3728179.3728189
@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={10.1145/3728179.3728189}, 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} }
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 Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York City: ACM, 2025. https://doi.org/10.1145/3728179.3728189.
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: 10.1145/3728179.3728189.
Jungemann, Linus, et al. “FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC.” Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2025, doi:10.1145/3728179.3728189.