中国科学院计算技术研究所机构知识库

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	Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses 期刊论文 ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2023, 卷号: 28, 期号: 4, 页码: 23 作者:  Chu, Cheng;  Liu, Cheng;  Xu, Dawen;  Wang, Ying;  Luo, Tao;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Deformable convolution network  neural network accelerator  irregular memory access  runtime tile scheduling
	An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930 作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01 Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video
	Architecting Effectual Computation for Machine Learning Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 10, 页码: 2654-2667 作者:  Lu, Hang;  Zhang, Mingzhe;  Han, Yinhe;  Wang, Qi;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：88/0  |  提交时间：2020/12/10 Computational modeling  Throughput  Adders  Machine learning  Acceleration  Kernel  Computational efficiency  Accelerator architectures  neural network hardware  multiplying circuits
	SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677 作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao;  Yan, Guihai;  Li, Xiaowei 收藏  |  浏览/下载：41/0  |  提交时间：2020/12/10 Convolutional neural networks  accelerator architecture  hardware acceleration
	SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks 期刊论文 ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2019, 卷号: 24, 期号: 1, 页码: 27 作者:  Li, Jiajun;  Yan, Guihai;  Lu, Wenyan;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei 收藏  |  浏览/下载：70/0  |  提交时间：2019/04/03 Deep neural networks  convolutional neural networks  accelerator  architecture  resource utilization  complementary effect