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An Application-oblivious Memory Scheduling System for DNN Accelerators 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2022, 卷号: 19, 期号: 4, 页码: 26
作者:  Li, Jiansong;  Wang, Xueying;  Chen, Xiaobing;  Li, Guangli;  Dong, Xiao;  Zhao, Peng;  Yu, Xianzhi;  Yang, Yongxin;  Cao, Wei;  Liu, Lei;  Feng, Xiaobing
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Deep learning  memory scheduling  runtime system  DNN accelerators  
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：26/0  |  提交时间：2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
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)  
FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2022, 卷号: 37, 期号: 5, 页码: 1200-1220
作者:  Liu, Lei;  Ma, Xiu;  Liu, Hua-Xiao;  Li, Guang-Li;  Liu, Lei
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
deep learning accelerator  programming framework  domain-specific language  
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：31/0  |  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  
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)  
Portrait: A holistic computation and bandwidth balanced performance evaluation model for heterogeneous systems 期刊论文
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 卷号: 35, 页码: 8
作者:  Wu, Jingya;  Lu, Wenyan;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07
Accelerators  Heterogeneous systems  Bandwidth contention  Hardware hazard  PCIe  
Scaling Poisson Solvers on Many Cores via MMEwald 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 8, 页码: 1888-1901
作者:  Wu, Mingchuan;  Wu, Yangjun;  Shang, Honghui;  Liu, Ying;  Cui, Huimin;  Li, Fang;  Duan, Xiaohui;  Zhang, Yunquan;  Feng, Xiaobing
收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21
Optimization  Bandwidth  Supercomputers  Electric potential  Boundary conditions  Electrostatics  Silicon  Poisson solver  architecture-specific optimizations  many-core processor  
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：27/0  |  提交时间：2022/12/07
Autonomous Driving  Heterogeneous Multicore AI Accelerator  Criteria  Reinforcement Learning  Scheduling  
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 7, 页码: 1626-1639
作者:  Zou, Kaiwei;  Wang, Ying;  Cheng, Long;  Qu, Songyun;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：29/0  |  提交时间：2022/12/07
Kernel  Computer architecture  Multicore processing  Deep learning  System-on-chip  Parallel processing  Real-time systems  Neural networks  parallel processing  real-time and embedded systems  single-chip multiprocessors  reinforcement learning  structured sparsity