Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alessio Carpegna"'
Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic
Publikováno v:
2022 IEEE 23rd Latin American Test Symposium (LATS)
Approximate Computing (AxC) techniques allow trade-off accuracy for performance, energy, and area reduction gains. One of the applications suitable for using AxC techniques are the Spiking Neural Networks (SNNs). SNNs are the new frontier for artific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bff6a5af430a57e32061b2a690115764
https://doi.org/10.1109/lats57337.2022.9936999
https://doi.org/10.1109/lats57337.2022.9936999
Publikováno v:
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
Spiking Neural Networks (SNN) are an emerging type of biologically plausible and efficient Artificial Neural Network (ANN). This work presents the development of a hardware accelerator for a SNN for high-performance inference, targeting a Xilinx Arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca1c06bb564e2373dd7113433321cfcb
https://doi.org/10.1109/isvlsi54635.2022.00016
https://doi.org/10.1109/isvlsi54635.2022.00016
Publikováno v:
International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064a0ac0ca90038cf1b2abdc72e4df5e
https://doi.org/10.1145/3535044.3535062
https://doi.org/10.1145/3535044.3535062