中国科学院计算技术研究所机构知识库

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	AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 3, 页码: 766-780 作者:  Cao, Hang;  Yuan, Liang;  Zhang, He;  Zhang, Yunquan;  Wu, Baodong;  Li, Kun;  Li, Shigang;  Zhang, Minghua;  Lu, Pengqi;  Xiao, Junmin 收藏  |  浏览/下载：24/0  |  提交时间：2023/07/12 Atmospheric general circulation model  3-D decomposition  leap-format finite-difference  heterogeneous acceleration
	A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21 作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji 收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01 Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis
	EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271 作者:  Yu, Fang;  Cui, Li;  Wang, Pengcheng;  Han, Chuanqi;  Huang, Ruoran;  Huang, Xi 收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01 Acceleration  Internet of Things  Computational modeling  Edge computing  Sensitivity analysis  Optimization  Convex functions  Deep neural networks (DNNs)  edge computing  filter pruning  model compression and acceleration
	Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145 作者:  Zhong, Qiaoling;  Zhang, Zhibin;  Qiu, Qiang;  Cheng, Xueqi 收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01 Network pruning  inference acceleration  model compression  multiple GPUs
	Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626 作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling;  Feng, Xiaobing 收藏  |  浏览/下载：56/0  |  提交时间：2021/12/01 Deep learning system  edge intelligence  model compression and acceleration  neural networks