Device quantization policy in variation-aware in-memory computing design

Device quantization of in-memory computing (IMC) that considers the non-negligible variation and finite dynamic range of practical memory technology is investigated, aiming for quantitatively co-optimizing system performance on accuracy, power, and area. Architecture- and algorithm-level solutions a...

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Detalles Bibliográficos
Autores principales: Chang, Chih-Cheng, Li, Shao-Tzu, Pan, Tong-Lin, Tsai, Chia-Ming, Wang, I-Ting, Chang, Tian-Sheuan, Hou, Tuo-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741899/
https://www.ncbi.nlm.nih.gov/pubmed/34997104
http://dx.doi.org/10.1038/s41598-021-04159-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741899/
https://www.ncbi.nlm.nih.gov/pubmed/34997104
http://dx.doi.org/10.1038/s41598-021-04159-x

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