%0 Journal Article %1 journals/corr/abs-2011-14325 %A Garofalo, Angelo %A Tagliavini, Giuseppe %A Conti, Francesco %A Benini, Luca %A Rossi, Davide %D 2020 %J CoRR %K dblp %T XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes. %U http://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-14325 %V abs/2011.14325

@article{journals/corr/abs-2011-14325, added-at = {2020-12-01T00:00:00.000+0100}, author = {Garofalo, Angelo and Tagliavini, Giuseppe and Conti, Francesco and Benini, Luca and Rossi, Davide}, biburl = {https://www.bibsonomy.org/bibtex/27a1c83a40854f2f063b0f6109c7b8778/dblp}, ee = {https://arxiv.org/abs/2011.14325}, interhash = {9203ff45cbee35eccefcef40dfa91324}, intrahash = {7a1c83a40854f2f063b0f6109c7b8778}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-04-08T22:02:40.000+0200}, title = {XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-14325}, volume = {abs/2011.14325}, year = 2020 }