Nov 19, 2021 · Our end-to-end framework E3NE automates the generation of efficient SNN inference logic for FPGAs. Based on a PyTorch model and user parameters.
Based on a PyTorch model and user parameters, it applies various optimizations and assesses trade-offs inherent to spike-based accelerators. Multiple levels of ...
Our end-to-end framework E3NE automates the generation of efficient SNN inference logic for FPGAs. Based on a PyTorch model and user parameters, it applies ...
This end-to-end framework E3NE automates the generation of efficient SNN inference logic for FPGAs and applies various optimizations and assesses trade-offs ...
May 23, 2022 · In this paper, we presented E3NE, an end-to-end framework for the inference of spiking neural networks with emerging neural encoding. It ...
Based on a PyTorch model and user parameters, it applies various optimizations and assesses trade-offs inherent to spike-based accelerators. Multiple levels of ...
Luo, "E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs," in IEEE Transactions on Parallel and ...
Apr 25, 2024 · E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Trans. Parallel ...
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs · 1 code implementation • 19 Nov 2021 • Daniel ...
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E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu ...