14 citations · 14 across the 1 of their papers we have counts for
2 papers
cs.AR2021★ 14 cited
HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney, Dominik Loroch, Vladimir Rybalkin +3
Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement…
cs.CV2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs
Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar +3
It is well known that many types of artificial neural networks, including recurrent networks, can achieve a high classification accuracy even with low-precision weights and activat…