中国科学院计算技术研究所机构知识库

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	Mortar-FP8: Morphing the Existing FP32 Infrastructure for High-Performance Deep Learning Acceleration 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 3, 页码: 878-891 作者:  Li, Hongyan;  Lu, Hang;  Li, Xiaowei 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Deep learning accelerator  deep neural network (DNN)  fp8 format
	Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265 作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Accelerator  output activation  prediction  sparse convolutional neural network
	A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376 作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)
	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
	DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 899-910 作者:  Zhuang, Yi-Min;  Hu, Xing;  Chen, Xiao-Bing;  Zhi, Tian 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 dynamic neural network (NN)  deep neural network (DNN) accelerator  dynamic pipelining
	BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks 期刊论文 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 1, 页码: 90-103 作者:  Li, Hongyan;  Lu, Hang;  Wang, Haoxuan;  Deng, Shengji;  Li, Xiaowei 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Deep learning accelerator  deep neural network (DNN)  hardware runtime pruning
	Optimus: An Operator Fusion Framework for Deep Neural Networks 期刊论文 ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 26 作者:  Cai, Xuyi;  Wang, Ying;  Zhang, Lei 收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12 Neural network  embedded processor  memory  layer fusion
	Multi-Node Acceleration for Large-Scale GCNs 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152 作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan 收藏  |  浏览/下载：25/0  |  提交时间：2023/07/12 Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization
	JBNN: A Hardware Design for Binarized Neural Networks Using Single-Flux-Quantum Circuits 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3203-3214 作者:  Fu, Rongliang;  Huang, Junying;  Wu, Haibin;  Ye, Xiaochun;  Fan, Dongrui;  Ho, Tsung-Yi 收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12 Superconducting  single-flux-quantum  accelerator  binarized neural network
	Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 11, 页码: 5071-5084 作者:  Zhang, Xiaoyu;  Liu, Rui;  Song, Tao;  Yang, Yuxin;  Han, Yinhe;  Chen, Xiaoming 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Convolutional neural network (CNN)  ferroelectric field-effect transistor (FeFET)  few-shot learning  in-memory processing  ternary content-addressable memory (TCAM)