xDNN: Inference for Deep Convolutional Neural Networks.

Aaron Ng

Paolo D'Alberto Victor Wu Aaron Ng Rahul Nimaiyar Elliott Delaye Ashish Sirasao xDNN: Inference for Deep Convolutional Neural Networks. 18:1-18:29 2022 15 ACM Trans. Reconfigurable Technol. Syst. 2 https://doi.org/10.1145/3473334 db/journals/trets/trets15.html#DAlbertoWNNDS22

Aaron Ng Rishabh Mehrotra Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. 697-702 2020 RecSys https://doi.org/10.1145/3383313.3418493 conf/recsys/2020 db/conf/recsys/recsys2020.html#NgM20

Sean O. Settle Manasa Bollavaram Paolo D'Alberto Elliott Delaye Oscar Fernandez Nicholas Fraser Aaron Ng Ashish Sirasao Michael Wu Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines. 2018 abs/1805.07941 CoRR http://arxiv.org/abs/1805.07941 db/journals/corr/corr1805.html#abs-1805-07941

Ilya Ganusov Henri Fraisse Aaron Ng Rafael Trapani Possignolo Sabya Das Automated extra pipeline analysis of applications mapped to Xilinx UltraScale+ FPGAs. 1-10 2016 FPL https://doi.org/10.1109/FPL.2016.7577344 conf/fpl/2016 db/conf/fpl/fpl2016.html#GanusovFNPD16 Manasa Bollavaram Paolo D'Alberto Sabya Das Elliott Delaye Oscar Fernandez Henri Fraisse Nicholas Fraser Ilya Ganusov Rishabh Mehrotra Rahul Nimaiyar Rafael Trapani Possignolo Sean O. Settle Ashish Sirasao Michael Wu Victor Wu