{"status":"public","date_updated":"2025-04-28T08:48:28Z","doi":"10.1145/3706628.3708857","_id":"59699","title":"Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators","publication_status":"published","publisher":"ACM","date_created":"2025-04-28T08:47:43Z","publication":"Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays","author":[{"first_name":"Linus","full_name":"Jungemann, Linus","last_name":"Jungemann"},{"first_name":"Bjarne","full_name":"Wintermann, Bjarne","last_name":"Wintermann"},{"full_name":"Riebler, Heinrich","last_name":"Riebler","first_name":"Heinrich"},{"first_name":"Christian","last_name":"Plessl","full_name":"Plessl, Christian"}],"user_id":"67601","type":"conference","year":"2025","citation":{"chicago":"Jungemann, Linus, Bjarne Wintermann, Heinrich Riebler, and Christian Plessl. “Neural Network Inference in High-Performance Computing: Closing the Gap for FINN Based Reconfigurable Accelerators.” In <i>Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3706628.3708857\">https://doi.org/10.1145/3706628.3708857</a>.","apa":"Jungemann, L., Wintermann, B., Riebler, H., &#38; Plessl, C. (2025). Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators. <i>Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</i>. <a href=\"https://doi.org/10.1145/3706628.3708857\">https://doi.org/10.1145/3706628.3708857</a>","bibtex":"@inproceedings{Jungemann_Wintermann_Riebler_Plessl_2025, title={Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators}, DOI={<a href=\"https://doi.org/10.1145/3706628.3708857\">10.1145/3706628.3708857</a>}, booktitle={Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays}, publisher={ACM}, author={Jungemann, Linus and Wintermann, Bjarne and Riebler, Heinrich and Plessl, Christian}, year={2025} }","mla":"Jungemann, Linus, et al. “Neural Network Inference in High-Performance Computing: Closing the Gap for FINN Based Reconfigurable Accelerators.” <i>Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3706628.3708857\">10.1145/3706628.3708857</a>.","short":"L. Jungemann, B. Wintermann, H. Riebler, C. Plessl, in: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, ACM, 2025.","ieee":"L. Jungemann, B. Wintermann, H. Riebler, and C. Plessl, “Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators,” 2025, doi: <a href=\"https://doi.org/10.1145/3706628.3708857\">10.1145/3706628.3708857</a>.","ama":"Jungemann L, Wintermann B, Riebler H, Plessl C. Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators. In: <i>Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3706628.3708857\">10.1145/3706628.3708857</a>"}}