Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline

Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction operations required such as accumulation. To reduce this bottle-neck of HD computing in PIM, we present...

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Detalles Bibliográficos
Autores principales: Morris, Justin, Hao, Yilun, Gupta, Saransh, Khaleghi, Behnam, Aksanli, Baris, Rosing, Tajana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189416/
https://www.ncbi.nlm.nih.gov/pubmed/35706689
http://dx.doi.org/10.3389/fnins.2022.867192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189416/
https://www.ncbi.nlm.nih.gov/pubmed/35706689
http://dx.doi.org/10.3389/fnins.2022.867192

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