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FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC. In: <i>Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3728179.3728189\">10.1145/3728179.3728189</a>","mla":"Jungemann, Linus, et al. “FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC.” <i>Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3728179.3728189\">10.1145/3728179.3728189</a>.","short":"L. Jungemann, B. Wintermann, H. Riebler, C. 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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>.","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>.","short":"G. Pape, B. Wintermann, L. Jungemann, M. Lass, M. Meyer, H. Riebler, C. 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