Publisher
Springer Nature Switzerland
Reference11 articles.
1. Bierzynski, K., et al.: AI at the edge. 2021 EPoSS White Paper (2021)
2. Duarte, J., et al.: Fast inference of deep neural networks in FPGAs for particle physics. J. Instr. 13(07), P07027 (2018)
3. Fahim, F., et al.: hls4ml: an open-source codesign workow to empower scientifc low-power machine learning devices. arXiv (2021)
4. Hornik, K., Stinchcombe, M., White, H.: Multilayer feedforward networks are universal approximators. Neural Netw. 2, 359–366 (1989)
5. Li, P., et al.: Resource-aware throughput optimization for high-level synthesis. In: Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp. 200–209 (2015)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Trustworthy Codesign by Verifiable Transformations;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18
2. Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments;2022 International Conference on Field-Programmable Technology (ICFPT);2022-12-05