A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2023.3234893
Abstract: The energy efficiency of deep neural network (DNN) inference can be improved with custom accelerators. DNN inference accelerators often employ specialized hardware techniques to improve energy efficiency, but many of these techniques result in catastrophic… read more here.
Keywords: per vector; quantization; accuracy loss; accelerator ... See more keywords