Cargando…
Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding
The exponential increase in data over the last decade presents a significant challenge to analytics efforts that seek to process and interpret such data for various applications. Neural-inspired computing approaches are being developed in order to leverage the computational properties of the analog,...
Autores principales: | Agarwal, Sapan, Quach, Tu-Thach, Parekh, Ojas, Hsia, Alexander H., DeBenedictis, Erik P., James, Conrad D., Marinella, Matthew J., Aimone, James B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701906/ https://www.ncbi.nlm.nih.gov/pubmed/26778946 http://dx.doi.org/10.3389/fnins.2015.00484 |
Ejemplares similares
-
The brain’s unique take on algorithms
por: Aimone, James B., et al.
Publicado: (2023) -
Self-rectifying resistive memory in passive crossbar arrays
por: Jeon, Kanghyeok, et al.
Publicado: (2021) -
Measuring the tolerance of the genetic code to altered codon size
por: DeBenedictis, Erika Alden, et al.
Publicado: (2022) -
Matrix Mapping on Crossbar Memory Arrays with Resistive Interconnects and Its Use in In-Memory Compression of Biosignals
por: Lee, Yoon Kyeung, et al.
Publicado: (2019) -
Performance analysis of DNA crossbar arrays for high-density memory storage applications
por: De, Arpan, et al.
Publicado: (2023)