190 citations · 1.5k across the 53 of their papers we have counts for
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cs.NE2017★ 67 cited
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs
Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu +5
Deep convolutional neural networks (CNNs) obtain outstanding results in tasks that require human-level understanding of data, like image or speech recognition. However, their compu…
cs.DC2017
Chipmunk: A Systolically Scalable 0.9 mm, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference
Francesco Conti, Lukas Cavigelli, Gianna Paulin +2
Recurrent neural networks (RNNs) are state-of-the-art in voice awareness/understanding and speech recognition. On-device computation of RNNs on low-power mobile and wearable device…