PEST: Energy-Efficient NEST Brain-Like Simulator Implemented by PYNQ Cluster
Large-scale brain-like simulation with high performance and low power consumption is one of the most challenging problems in brain-like computing. At present, the implementation of brain-like computing is mainly divided into hardware implementation and software implementation. Dedicated brain-like c...
Guardado en:
Autor principal: | LI Peiqi1, YU Gongjian2, HUA Xia2, LIU Jiahang2, CHAI Zhilei2,3+ |
---|---|
Formato: | article |
Lenguaje: | ZH |
Publicado: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c924bb15306a4acb9a98fc3f760b1cf4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Review on FPGA-Based Accelerators in Deep Learning
por: LIU Tengda1, ZHU Junwen1, ZHANG Yiwen2+
Publicado: (2021) -
Interference Signal Identification of Sensor Array Based on Convolutional Neural Network and FPGA Implementation
por: Lin Huang, et al.
Publicado: (2021) -
Hardware Architecture of Stochastic Computing Neural Network
por: CHEN Yuhao, SONG Yinjie, ZHU Yanan, GAO Yunfei, LI Hongge+
Publicado: (2021) -
Research Progress of Deep Learning in Retinal Vessel Segmentation
por: LI Lanlan1, ZHANG Xiaohui1, NIU Decao3, HU Yihuang1, ZHAO Tiesong1, WANG Dabiao2+
Publicado: (2021) -
Survey of Face Synthesis
por: FEI Jianwei1, XIA Zhihua2+, YU Peipeng1, DAI Yunshu1
Publicado: (2021)