中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共15条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
JANM-IK: Jacobian Argumented Nelder-Mead Algorithm for Inverse Kinematics and its Hardware Acceleration 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2024, 卷号: 23, 期号: 1, 页码: 45-48
作者:  Yang, Yuxin;  Chen, Xiaoming;  Han, Yinhe
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Robotics  inverse kinematics  Jacobian  nelder-mead  software-hardware co-design  accelerator  
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)  
Search-Free Inference Acceleration for Sparse Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2156-2169
作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Wu, Jigang;  Chang, Liang;  Liu, Peng;  Xu, Haobo
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Internal interconnection  memory bandwidth  sparse accelerators  sparse convolution neural networks (CNNs)  
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  
Breaking the von Neumann bottleneck: architecture-level processing-in-memory technology 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 6, 页码: 10
作者:  Zou, Xingqi;  Xu, Sheng;  Chen, Xiaoming;  Yan, Liang;  Han, Yinhe
收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01
processing-in-memory (PIM)  von Neumann bottleneck  memory wall  PIM simulator  architecture-level PIM  
Swallow: A Versatile Accelerator for Sparse Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893
作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Xu, Haobo
收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01
Accelerator  convolutional (Conv) layers  fully connected (FC) layers  sparse neural networks (SNNs)