Nov 19, 2021 · E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. Authors:Daniel Gerlinghoff, ...

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 ...

May 23, 2022 · In this paper, we present an End-to-End framework for accelerating spiking neural networks with Emerging Neural. Encoding on FPGAs. E3NE enables ...

This end-to-end framework E3NE automates the generation of efficient SNN inference logic for FPGAs and applies various optimizations and assesses trade-offs ...

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs ... Our end-to-end framework E3NE automates ...

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu ...

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 ...

Apr 4, 2024 · E3NE: An End-to-End Framework for Accelerating. Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Transactions on Parallel ...