Sparse matrix multiplication in a record-low power self-rectifying memristor array for scientific computing

Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. Owing to the limitation of the computing mechanism, while the crossbar structure is desirable for dense computation, the system’s energy and area efficiency...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jiancong, Ren, Sheng-guang, Li, Yi, Yang, Ling, Yu, Yinjie, Ni, Run, Zhou, Houji, Bao, Han, He, Yuhui, Chen, Jia, Jia, Han, Miao, Xiangshui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Physical and Materials Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284536/
https://www.ncbi.nlm.nih.gov/pubmed/37343101
http://dx.doi.org/10.1126/sciadv.adf7474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284536/
https://www.ncbi.nlm.nih.gov/pubmed/37343101
http://dx.doi.org/10.1126/sciadv.adf7474

Ejemplares similares