Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference

Efficient machine learning implementations optimized for inference in hardware have wide-ranging benefits, depending on the application, from lower inference latency to higher data throughput and reduced energy consumption. Two popular techniques for reducing computation in neural networks are pruni...

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Detalles Bibliográficos
Autores principales: Hawks, Benjamin, Duarte, Javier, Fraser, Nicholas J., Pappalardo, Alessandro, Tran, Nhan, Umuroglu, Yaman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299073/
https://www.ncbi.nlm.nih.gov/pubmed/34308339
http://dx.doi.org/10.3389/frai.2021.676564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299073/
https://www.ncbi.nlm.nih.gov/pubmed/34308339
http://dx.doi.org/10.3389/frai.2021.676564

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