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OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 2, 页码: 27
作者:  Wang, Xueying;  Li, Shigang;  Qian, Hao;  Luo, Fan;  Hao, Zhaoyang;  Wu, Tong;  Xu, Ruiyuan;  Cui, Huimin;  Feng, Xiaobing;  Li, Guangli
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Deep learning systems  convolutional neural networks  operator fusion  
SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 2, 页码: 26
作者:  Du, Zhen;  Li, Ying;  Sun, Ninghui;  Cui, Huimin;  Feng, Xiaobing;  Li, Jiajia
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
High performance computing  sparse matrix computation  auto-tuning  code generator  semiring computation  
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2024, 卷号: 21, 期号: 1, 页码: 26
作者:  Wang, Xueying;  Li, Guangli;  Jia, Zhen;  Feng, Xiaobing;  Wang, Yida
收藏  |  浏览/下载：61/0  |  提交时间：2024/05/20
Deep learning  winograd convolution  low-precision computation  
OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources (vol 11, 1156891, 2023) 期刊论文
FRONTIERS IN CHEMISTRY, 2023, 卷号: 11, 页码: 1
作者:  Wu, Zhikun;  Shang, Honghui;  Wu, Yangjun;  Zhang, Zhongcheng;  Liu, Ying;  Zhang, Yuyang;  Ouyang, Yucheng;  Cui, Huimin;  Feng, Xiaobing
收藏  |  浏览/下载：49/0  |  提交时间：2023/12/04
OpenCL  DFPT  GPU  optimization  heterogeneous  
OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources 期刊论文
FRONTIERS IN CHEMISTRY, 2023, 卷号: 11, 页码: 15
作者:  Wu, Zhikun;  Shang, Honghui;  Wu, Yangjun;  Zhang, Zhongcheng;  Liu, Ying;  Zhang, Yuyang;  Ouyang, Yucheng;  Cui, Huimin;  Feng, Xiaobing
收藏  |  浏览/下载：43/0  |  提交时间：2023/12/04
OpenCL  DFPT  GPU  optimization  heterogeneous  
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：75/0  |  提交时间：2023/07/12
Deep learning  memory scheduling  runtime system  DNN accelerators  
A Systematic View of Model Leakage Risks in Deep Neural Network Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3254-3267
作者:  Hu, Xing;  Liang, Ling;  Chen, Xiaobing;  Deng, Lei;  Ji, Yu;  Ding, Yufei;  Du, Zidong;  Guo, Qi;  Sherwood, Tim;  Xie, Yuan
收藏  |  浏览/下载：48/0  |  提交时间：2023/07/12
Domain-specific architecture  deep learning security  model security  
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：73/0  |  提交时间：2022/06/21
Optimization  Bandwidth  Supercomputers  Electric potential  Boundary conditions  Electrostatics  Silicon  Poisson solver  architecture-specific optimizations  many-core processor  
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan
收藏  |  浏览/下载：61/0  |  提交时间：2022/12/07
Deep learning accelerator  graph neural network (GNN)  
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 124, 页码: 11
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Yue, Hengshan;  Li, Jiansong;  Liu, Lei;  Feng, Xiaobing;  Xue, Jingling
收藏  |  浏览/下载：64/0  |  提交时间：2022/12/07
Edge intelligence  Deep learning  Neural network compression