{"conference":{"start_date":"2025-05-26","end_date":"2025-05-28","location":"Kumamoto, Japan","name":"The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies 2025 (HEART 2025) "},"title":"AuroraFlow, an Easy-to-Use, Low-Latency FPGA Communication Solution Demonstrated on Multi-FPGA Neural Network Inference","author":[{"full_name":"Pape, Gerrit","last_name":"Pape","first_name":"Gerrit"},{"last_name":"Wintermann","first_name":"Bjarne","full_name":"Wintermann, Bjarne","orcid":"0009-0000-0856-6250","id":"62900"},{"id":"67601","full_name":"Jungemann, Linus","orcid":"0009-0003-9757-988X","last_name":"Jungemann","first_name":"Linus"},{"first_name":"Michael","last_name":"Lass","full_name":"Lass, Michael"},{"first_name":"Marius","last_name":"Meyer","full_name":"Meyer, Marius"},{"last_name":"Riebler","first_name":"Heinrich","full_name":"Riebler, Heinrich","id":"8961"},{"id":"16153","full_name":"Plessl, Christian","orcid":"0000-0001-5728-9982","first_name":"Christian","last_name":"Plessl"}],"citation":{"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>.","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.","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>","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>","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>.","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>."},"type":"conference","date_updated":"2025-06-23T08:40:28Z","language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"27"}],"user_id":"67601","year":"2025","publication":"Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies","doi":"10.1145/3728179.3728190","_id":"59816","date_created":"2025-05-06T09:53:41Z","status":"public","project":[{"_id":"296","name":"EKI-App: EKI-App: Energieeffiziente Künstliche Intelligenz im Rechenzentrum durch Approximation von tiefen neuronalen Netzen für Field-Programmable Gate Arrays"}]}