[{"title":"AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication Solution Demonstrated on Multi-FPGA Neural Network Inference","doi":"10.1145/3728179.3728190","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_updated":"2025-06-23T08:40:28Z","date_created":"2025-05-06T09:53:41Z","author":[{"first_name":"Gerrit","last_name":"Pape","full_name":"Pape, Gerrit"},{"last_name":"Wintermann","orcid":"0009-0000-0856-6250","full_name":"Wintermann, Bjarne","id":"62900","first_name":"Bjarne"},{"last_name":"Jungemann","orcid":"0009-0003-9757-988X","full_name":"Jungemann, Linus","id":"67601","first_name":"Linus"},{"first_name":"Michael","last_name":"Lass","full_name":"Lass, Michael"},{"first_name":"Marius","full_name":"Meyer, Marius","last_name":"Meyer"},{"last_name":"Riebler","id":"8961","full_name":"Riebler, Heinrich","first_name":"Heinrich"},{"id":"16153","full_name":"Plessl, Christian","last_name":"Plessl","orcid":"0000-0001-5728-9982","first_name":"Christian"}],"year":"2025","citation":{"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} }","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.","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>","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>."},"publication_status":"published","language":[{"iso":"eng"}],"project":[{"name":"EKI-App: EKI-App: Energieeffiziente Künstliche Intelligenz im Rechenzentrum durch Approximation von tiefen neuronalen Netzen für Field-Programmable Gate Arrays","_id":"296"}],"_id":"59816","user_id":"67601","department":[{"_id":"27"}],"status":"public","type":"conference","publication":"Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies"}]