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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：7/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2023, 卷号: 28, 期号: 4, 页码: 23
作者:  Chu, Cheng;  Liu, Cheng;  Xu, Dawen;  Wang, Ying;  Luo, Tao;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Deformable convolution network  neural network accelerator  irregular memory access  runtime tile scheduling  
DOE: database offloading engine for accelerating SQL processing 期刊论文
DISTRIBUTED AND PARALLEL DATABASES, 2023, 页码: 25
作者:  Kong, Hao;  Lu, Wenyan;  Chen, Yan;  Wu, Jingya;  Zhang, Yu;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Database  Hardware  software co-design  Heterogeneous system  Analytic query processing  
Scalable and Conflict-Free NTT Hardware Accelerator Design: Methodology, Proof, and Implementation 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1504-1517
作者:  Mu, Jianan;  Ren, Yi;  Wang, Wen;  Hu, Yizhong;  Chen, Shuai;  Chang, Chip-Hong;  Fan, Junfeng;  Ye, Jing;  Cao, Yuan;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04
Memory access pattern  number theoretic transform (NTT)  post-quantum cryptography (PQC)  scalable hardware design  
TCADer: A Tightly Coupled Accelerator Design framework for heterogeneous system with hardware/software co-design 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 卷号: 136, 页码: 12
作者:  Li, Wenqing;  Liu, Tianyi;  Xiao, Ziyuan;  Qi, Han;  Zhu, Weipu;  Wang, Jian
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Heterogeneous system  Tightly coupled  Accelerator design framework  Interaction latency  Low-latency task  
Optimus: An Operator Fusion Framework for Deep Neural Networks 期刊论文
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 26
作者:  Cai, Xuyi;  Wang, Ying;  Zhang, Lei
收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
Neural network  embedded processor  memory  layer fusion  
JBNN: A Hardware Design for Binarized Neural Networks Using Single-Flux-Quantum Circuits 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3203-3214
作者:  Fu, Rongliang;  Huang, Junying;  Wu, Haibin;  Ye, Xiaochun;  Fan, Dongrui;  Ho, Tsung-Yi
收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
Superconducting  single-flux-quantum  accelerator  binarized neural network  
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)  
HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 10, 页码: 3400-3413
作者:  Liu, Cheng;  Chu, Cheng;  Xu, Dawen;  Wang, Ying;  Wang, Qianlong;  Li, Huawei;  Li, Xiaowei;  Cheng, Kwang-Ting
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Circuit faults  Computational modeling  Deep learning  Hardware  Redundancy  Neural networks  Computer architecture  Deep learning accelerator (DLA)  fault detection  fault tolerance  hybrid computing architecture (HyCA)  
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