Model Compression and Hardware-Aware Acceleration for Deep Learning on FPGAs: A Co-Design Taxonomy and Comparative Analysis
Deploying deep neural networks on Field-Programmable Gate Arrays (FPGAs) requires joint reasoning about model compression and hardware acceleration, however the most comprehensive existing cross-platform treatment of this space, Deng et al.~\cite{deng2020model}, compared compression techniques against CPU, GPU, FPGA, a...