Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators
L. Jungemann, B. Wintermann, H. Riebler, C. Plessl, in: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, ACM, 2025.
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Jungemann, Linus;
Wintermann, Bjarne;
Riebler, Heinrich;
Plessl, Christian
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Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
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Jungemann L, Wintermann B, Riebler H, Plessl C. Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators. In: Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. ACM; 2025. doi:10.1145/3706628.3708857
Jungemann, L., Wintermann, B., Riebler, H., & Plessl, C. (2025). Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators. Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. https://doi.org/10.1145/3706628.3708857
@inproceedings{Jungemann_Wintermann_Riebler_Plessl_2025, title={Neural Network Inference in High-Performance Computing: Closing the Gap for FINN based Reconfigurable Accelerators}, DOI={10.1145/3706628.3708857}, 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} }
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 Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. ACM, 2025. https://doi.org/10.1145/3706628.3708857.
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: 10.1145/3706628.3708857.
Jungemann, Linus, et al. “Neural Network Inference in High-Performance Computing: Closing the Gap for FINN Based Reconfigurable Accelerators.” Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, ACM, 2025, doi:10.1145/3706628.3708857.
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