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Accelerating Inference of Convolutional Neural Networks Using In-memory Computing
In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning applications. One prominent application of IMC is that of performing matrix-vector multiplication in [Formula: see tex...
| 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/PMC8369825/ https://www.ncbi.nlm.nih.gov/pubmed/34413731 http://dx.doi.org/10.3389/fncom.2021.674154 |