Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Domain-specific hardware is becoming a promising topic in the backdrop of improvement slow down for general-purpose processors due to the foreseeable end of Moore's Law. Machine learning, especially deep neural networks (DNNs), has become the most dazzling domain witnessing successful applicati...

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Veröffentlicht in:	Proceedings of the IEEE 2020-04, Vol.108 (4), p.485-532
Hauptverfasser:	Deng, Lei, Li, Guoqi, Han, Song, Shi, Luping, Xie, Yuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Accelerators Accuracy Algorithms Artificial intelligence Artificial neural networks Compact neural network Compression tests Data quantization Embedded systems Hardware Machine learning neural network acceleration neural network compression Neural networks Program processors Sensitivity analysis sparse neural network Task analysis Tensor decomposition Tensors
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