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Crypto-DSEDA: A Domain-Specific EDA Flow for CiM-Based Cryptographic Accelerators 期刊论文
IEEE DESIGN & TEST, 2024, 卷号: 41, 期号: 5, 页码: 46-54
作者:  Liu, Rui;  Li, Zerun;  Zhang, Xiaoyu;  Li, Wanqian;  Shen, Libo;  Tang, Rui;  Luo, Zhejian;  Chen, Xiaoming;  Han, Yinhe;  Tang, Minghua
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Computer architecture  Cryptography  Optimization  Table lookup  Hardware acceleration  Resource management  Space exploration  Computing-in-memory  electronic design automation  cryptographic algorithm  automatic generation  
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
General Purpose Deep Learning Accelerator Based on Bit Interleaving 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1470-1483
作者:  Chang, Liang;  Lu, Hang;  Li, Chenglong;  Zhao, Xin;  Hu, Zhicheng;  Zhou, Jun;  Li, Xiaowei
收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06
Synchronization  Parallel processing  Computational modeling  Training  Pragmatics  Power demand  Hardware acceleration  Accelerator  bit-level sparsity  deep neural network (DNN)  
Parallel Static Learning Toward Heterogeneous Computing Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 3, 页码: 983-993
作者:  Lin, Xiaoze;  Lai, Liyang;  Li, Huawei
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Automatic test pattern generation (ATPG)  graphics processing unit (GPU)  multicore CPU  parallel acceleration  static learning  
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  
Dadu-SV: Accelerate Stereo Vision Processing on NPU 期刊论文
IEEE EMBEDDED SYSTEMS LETTERS, 2022, 卷号: 14, 期号: 4, 页码: 191-194
作者:  Min, Feng;  Wang, Ying;  Xu, Haobo;  Huang, Junpei;  Wang, Yujie;  Zou, Xingqi;  Lu, Meixuan;  Han, Yinhe
收藏  |  浏览/下载：21/0  |  提交时间：2023/07/12
Hardware acceleration  neural computing  neural processing unit (NPU)  semiglobal matching (SGM)  stereo vision  
An Efficient Deep Learning Accelerator Architecture for Compressed Video Analysis 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 9, 页码: 2808-2820
作者:  Wang, Yongchen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/07
Streaming media  Neural networks  Image coding  Decoding  Metadata  Deep learning  Hardware  Neural network acceleration  specialized accelerator  video analysis  
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32
作者:  Xiao, Hang;  Xu, Haobo;  Wang, Ying;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
Linear particle accelerator  Correlation  Kernel  Convolution  Linear regression  System-on-chip  Quantization (signal)  Neural network  acceleration  convolution  linear regression  bit-sparsity  
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019
作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi
收藏  |  浏览/下载：19/0  |  提交时间：2023/07/12
Neural network acceleration  low precision training  quantization  
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2021, 卷号: 70, 期号: 9, 页码: 1511-1525
作者:  Liang, Shengwen;  Wang, Ying;  Liu, Cheng;  He, Lei;  Li, Huawei;  Xu, Dawen;  Li, Xiaowei
收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01
Neural networks  Hardware  System-on-chip  Task analysis  Feature extraction  Memory management  Graph neural network  accelerator architecture  hardware acceleration