中国科学院计算技术研究所机构知识库

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发表日期：2019

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	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
	Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network 期刊论文 INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2019, 卷号: 47, 期号: 3, 页码: 345-359 作者:  Han, Dong;  Zhou, Shengyuan;  Zhi, Tian;  Wang, Yibo;  Liu, Shaoli 收藏  |  浏览/下载：72/0  |  提交时间：2019/08/16 Float-Fix  Neural network  Hardware accelerator  Data type
	A Survey on Graph Processing Accelerators: Challenges and Opportunities 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 2, 页码: 339-371 作者:  Gui, Chuang-Yi;  Zheng, Long;  He, Bingsheng;  Liu, Cheng;  Chen, Xin-Yu;  Liao, Xiao-Fei;  Jin, Hai 收藏  |  浏览/下载：87/0  |  提交时间：2019/08/16 graph processing accelerator  domain-specific architecture  performance  energy efficiency
	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