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Hardware Acceleration for Machine Learning
DOI:10.3390/electronics15091857.png)
摘要
En
Keyword:
n/a
期刊
IF:
2.6
论文数:
1.1W
被引数:
4.7W
机构
引用论文
FPGA-based CNN accelerator using Convolutional Processing Element to reduce idle states基于FPGA的CNN加速器,采用卷积处理单元以减少空闲状态
Pflow: An end-to-end heterogeneous acceleration framework for CNN inference on FPGAsPflow: fpga上CNN推理的端到端异构加速框架
Zhang, J.; Yu, J.; Qiu, N.; Liu, Y.; Song, Y.; Zhang, L.; Du, S. Advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design. AI Mater. 2026, 2, 3. [Google Scholar] [CrossRef]张, J.; 俞, J.; 邱, N.; 刘, Y.; 宋, Y.; 张, L.; 杜, S. 先进的人工智能算法和硬件加速技术应用于材料结构设计. AI Mater. 2026, 2, 3. [Google Scholar] [CrossRef]

