16 citations · 87 across the 17 of their papers we have counts for
3 papers · 1 filter
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn +1
Deep learning is finding its way into the embedded world with applications such as autonomous driving, smart sensors and aug- mented reality. However, the computation of deep neura…
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…
Integrating DRAM Power-Down Modes in gem5 and Quantifying their Impact
Radhika Jagtap, Matthias Jung, Wendy Elsasser +3
Across applications, DRAM is a significant contributor to the overall system power, with the DRAM access energy per bit up to three orders of magnitude higher compared to on-chip m…