中国科学院计算技术研究所机构知识库

浏览/检索结果: 共5条，第1-5条

帮助

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提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	DFGAS: Exploring the Balance of HW-SW Scheduling through the DFG-Aware Scheme 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 4, 页码: 26 作者:  Liu, Tianyu;  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Qiu, Yuhang;  Tang, Shengzhong;  Wu, Haibin;  Liu, Yanhuan;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：24/0  |  提交时间：2026/05/25 CGRA  hardware-software co-design  network-on-chip
	DFU-E: A Dataflow Architecture for Edge DSP and AI Applications 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2025, 卷号: 36, 期号: 6, 页码: 1100-1114 作者:  Li, Wenming;  Fan, Zhihua;  Liu, Tianyu;  Wang, Zhen;  Wu, Haibin;  Wu, Meng;  Zhang, Kunming;  Liu, Yanhuan;  Sun, Ninghui;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：90/0  |  提交时间：2025/06/25 Artificial intelligence  Hardware  Edge computing  Computer architecture  Computational modeling  Single instruction multiple data  Energy efficiency  Target recognition  Radar polarimetry  Real-time systems  Dataflow architecture  edge computing  digital signal processing  AI  multi-layer dataflow mechanism
	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：102/0  |  提交时间：2024/05/20 Accelerator  output activation  prediction  sparse convolutional neural network
	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：106/0  |  提交时间：2023/07/12 Superconducting  single-flux-quantum  accelerator  binarized neural network
	A synergistic reinforcement learning-based framework design in driving automation 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 15 作者:  Qi, Yuqiong;  Hu, Yang;  Wu, Haibin;  Li, Shen;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：109/0  |  提交时间：2022/12/07 Autonomous Driving  Heterogeneous Multicore AI Accelerator  Criteria  Reinforcement Learning  Scheduling