Efficient Processing of Deep Neural Networks
| Vivienne Sze, MIT Yu-Hsin Chen, MIT Tien-Ju Yang, MIT Joel S. Emer, MIT and Nvidia Research This book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of the DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as a formalization and organization of key concepts from contemporary works that provides insights that may spark new ideas. BUY THIS BOOK CHECK IF YOU HAVE ACCESS via Synthesis Digital Library LINK |