中国科学院计算技术研究所机构知识库

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	Mathematical Framework for Optimizing Crossbar Allocation for ReRAM-based CNN Accelerators 期刊论文 ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2024, 卷号: 29, 期号: 1, 页码: 24 作者:  Li, Wanqian;  Han, Yinhe;  Chen, Xiaoming 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 ReRAM crossbars  CNN accelerator  mathematical framework  crossbar allocation
	Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3133-3146 作者:  Liu, Bosheng;  Jiang, Zhuoshen;  Wu, Yalan;  Wu, Jigang;  Chen, Xiaoming;  Liu, Peng;  Zhou, Qingguo;  Han, Yinhe 收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 Frequency-domain accelerator  energy efficiency  resistive random access memory  frequency-domain convolutions
	FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 9, 页码: 2889-2902 作者:  Liu, Rui;  Zhang, Xiaoyu;  Xie, Zhiwen;  Wang, Xinyu;  Li, Zerun;  Chen, Xiaoming;  Han, Yinhe;  Tang, Minghua 收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04 Computing-in-memory (CiM)  cryptographic algorithm  ferroelectric field-effect transistor (FeFET)  instruc-tion set architecture (ISA)
	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)
	Fast and High-Accuracy Approximate MAC Unit Design for CNN Computing 期刊论文 IEEE EMBEDDED SYSTEMS LETTERS, 2022, 卷号: 14, 期号: 3, 页码: 155-158 作者:  Xiao, Hang;  Xu, Haobo;  Chen, Xiaoming;  Wang, Yujie;  Han, Yinhe 收藏  |  浏览/下载：29/0  |  提交时间：2022/12/07 Approximate computing  convolution neural network  multiply and accumulate (MAC)
	Toward Efficient Computing for Robotics: From a Circuit and System View 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 卷号: 69, 期号: 7, 页码: 3051-3056 作者:  Xu, Haobo;  Yang, Yuxin;  Min, Feng;  Huang, Junpei;  Chen, Xiaoming;  Han, Yinhe;  Sun, Ninghui 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 Robots  Kinematics  Planning  Field programmable gate arrays  Image edge detection  Estimation  Circuits and systems  Robotics  accelerator  hardware  kinematics  motion planning  perception