中国科学院计算技术研究所机构知识库

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限定条件	出处：ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	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
	FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture 期刊论文 ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2021, 卷号: 26, 期号: 6, 页码: 24 作者:  Ning, Xuefei;  Ge, Guangjun;  Li, Wenshuo;  Zhu, Zhenhua;  Zheng, Yin;  Chen, Xiaoming;  Gao, Zhen;  Wang, Yu;  Yang, Huazhong 收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07 Neural architecture search  fault tolerance  neural networks
	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