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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| 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 |