{"citation":{"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 Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York City: ACM, n.d. https://doi.org/10.1145/3728179.3728189.","mla":"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, doi:10.1145/3728179.3728189.","apa":"Jungemann, L., Wintermann, B., Riebler, H., & Plessl, C. (n.d.). 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","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, n.d.","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, doi: 10.1145/3728179.3728189.","bibtex":"@inproceedings{Jungemann_Wintermann_Riebler_Plessl, 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} }","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: Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM. doi:10.1145/3728179.3728189"},"type":"conference","year":"2025","publication":"Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies","user_id":"67601","author":[{"first_name":"Linus","orcid":"0009-0003-9757-988X","id":"67601","full_name":"Jungemann, Linus","last_name":"Jungemann"},{"last_name":"Wintermann","full_name":"Wintermann, Bjarne","first_name":"Bjarne"},{"id":"8961","last_name":"Riebler","full_name":"Riebler, Heinrich","first_name":"Heinrich"},{"orcid":"0000-0001-5728-9982","first_name":"Christian","id":"16153","full_name":"Plessl, Christian","last_name":"Plessl"}],"publication_identifier":{"unknown":["979-8-4007-1432-0/25/05"]},"publication_status":"accepted","title":"FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC","date_created":"2025-05-05T11:12:47Z","publisher":"ACM","_id":"59804","doi":"10.1145/3728179.3728189","project":[{"name":"EKI-App: EKI-App: Energieeffiziente Künstliche Intelligenz im Rechenzentrum durch Approximation von tiefen neuronalen Netzen für Field-Programmable Gate Arrays","_id":"296"}],"language":[{"iso":"eng"}],"date_updated":"2025-05-05T11:19:49Z","conference":{"name":"The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies 2025 (HEART 2025)","start_date":"2025-05-26","end_date":"2025-05-28","location":"Kumamoto, Japan"},"department":[{"_id":"518"}],"status":"public","place":"New York City"}