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KPU: Kernel Processing Unit for in-Memory Analytical Query Processing 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2025, 卷号: 74, 期号: 8, 页码: 2702-2716
作者:  Wu, Jingya;  Lu, Wenyan;  Fan, Haishuang;  Kong, Hao;  Li, Xiaowei;  Yan, Guihai
收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03
Kernel  Bandwidth  Hardware  Central Processing Unit  Query processing  Programming  Parallel processing  Computers  Satellites  Database  domain-specific computer architecture  programmability  SQL  SQL  
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：2/0  |  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：2/0  |  提交时间：2025/12/03
High performance computing  sparse matrix computation  auto-tuning  code generator  semiring computation  
APoX-M: Accelerate deep point cloud analysis via adaptive graph construction 期刊论文
INTEGRATION-THE VLSI JOURNAL, 2025, 卷号: 101, 页码: 10
作者:  Dai, Lei;  Liang, Shengwen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：11/0  |  提交时间：2025/06/25
K nearest neighbor  Approximate nearest neighbor  Point cloud  Graph construction  
A fast test compaction method using dedicated Pure MaxSAT solver embedded in DFT flow 期刊论文
INTEGRATION-THE VLSI JOURNAL, 2025, 卷号: 100, 页码: 11
作者:  Chao, Zhiteng;  Zhang, Xindi;  Huang, Junying;  Liu, Zizhen;  Zhao, Yixuan;  Ye, Jing;  Cai, Shaowei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：42/0  |  提交时间：2024/12/06
Static test compaction  Pure MaxSAT  DFT  ATPG  
On Modeling and Detecting Trojans in Instruction Sets 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 10, 页码: 3226-3239
作者:  Zhang, Ying;  He, Aodi;  Li, Jiaying;  Rezine, Ahmed;  Peng, Zebo;  Larsson, Erik;  Yang, Tao;  Jiang, Jianhui;  Li, Huawei
收藏  |  浏览/下载：29/0  |  提交时间：2024/12/06
Trojan horses  Security  Program processors  Companies  Inspection  Hardware security  Reverse engineering  Deep test for security  hidden instruction Trojan (HIT)  unbounded model checking (UMC)  VLSI test  
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：61/0  |  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  
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：57/0  |  提交时间：2024/05/20
Deep learning  winograd convolution  low-precision computation  
VTensor: Using Virtual Tensors to Build a Layout-Oblivious AI Programming Framework 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 5, 页码: 1074-1097
作者:  Yu, Feng;  Zhao, Jia-Cheng;  Cui, Hui-Min;  Feng, Xiao-Bing;  Xue, Jingling
收藏  |  浏览/下载：37/0  |  提交时间：2024/05/20
artificial intelligence (AI) programming  layout-oblivious  tensor processing  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：43/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)