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Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2024, 卷号: 21, 期号: 1, 页码: 26
作者:  Wang, Xueying;  Li, Guangli;  Jia, Zhen;  Feng, Xiaobing;  Wang, Yida
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Deep learning  winograd convolution  low-precision computation  
Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen;  An, Zhulin
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs  
A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition 期刊论文
NUTRIENTS, 2024, 卷号: 16, 期号: 2, 页码: 16
作者:  Sheng, Guorui;  Min, Weiqing;  Zhu, Xiangyi;  Xu, Liang;  Sun, Qingshuo;  Yang, Yancun;  Wang, Lili;  Jiang, Shuqiang
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
food recognition  lightweight  global feature  ViT  nutrition management  
Mathematical Framework for Optimizing Crossbar Allocation for ReRAM-based CNN Accelerators 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2024, 卷号: 29, 期号: 1, 页码: 24
作者:  Li, Wanqian;  Han, Yinhe;  Chen, Xiaoming
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
ReRAM crossbars  CNN accelerator  mathematical framework  crossbar allocation