39 citations · 46 across the 7 of their papers we have counts for
3 papers · 1 filter
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA
Lucian Petrica, Tobias Alonso, Mairin Kroes +3
Custom dataflow Convolutional Neural Network (CNN) inference accelerators on FPGA are tailored to a specific CNN topology and store parameters in On-Chip Memory (OCM), resulting in…
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware
Michaela Blott, Lisa Halder, Miriam Leeser +1
Neural Networks have become one of the most successful universal machine learning algorithms. They play a key role in enabling machine vision and speech recognition for example. Th…
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Michaela Blott, Thomas Preusser, Nicholas Fraser +3
Convolutional Neural Networks have rapidly become the most successful machine learning algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded comp…