Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Quantized visual awareness
por: Escobar, W. A.
Publicado: (2013) -
Degree-Aware Graph Neural Network Quantization
por: Fan, Ziqin, et al.
Publicado: (2023) -
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices
por: Kingra, Sandeep Kaur, et al.
Publicado: (2020) -
Controlled inter-state switching between quantized conductance states in resistive devices for multilevel memory
por: Deswal, Sweety, et al.
Publicado: (2019) -
Conductance Quantization in Resistive Random Access Memory
por: Li, Yang, et al.
Publicado: (2015)