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MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 11, 页码: 4112-4125
作者:  Zhu, Zhenhua;  Sun, Hanbo;  Xie, Tongxin;  Zhu, Yu;  Dai, Guohao;  Xia, Lixue;  Niu, Dimin;  Chen, Xiaoming;  Hu, Xiaobo Sharon;  Cao, Yu;  Xie, Yuan;  Yang, Huazhong;  Wang, Yu
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Computational modeling  Computer architecture  Integrated circuit modeling  Scheduling  Hardware  Memristors  Convolutional neural networks  Hardware modeling tool  processing-in-memory (PIM)  software-hardware co-optimization  
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596
作者:  Lv, Hao;  Li, Bing;  Zhang, Lei;  Liu, Cheng;  Wang, Ying
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Security  Hardware  Neuromorphic engineering  Computational modeling  Circuit faults  Resistance  Immune system  Adversarial attack  fault injection attack  neuromorphic computing system (NCS)  processing in memory  reliability  resistive memory  
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：17/0  |  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)  
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2115-2127
作者:  He, Yintao;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Computer architecture  Microprocessors  Resistance  Power demand  Training  Biological neural networks  Optimization  Low power (LP)  neural networks  processing-in-memory  resistive random-access memory (RRAM)  
An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596
作者:  Li, Bing;  Qu, Songyun;  Wang, Ying
收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07
Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)  
Breaking the von Neumann bottleneck: architecture-level processing-in-memory technology 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 6, 页码: 10
作者:  Zou, Xingqi;  Xu, Sheng;  Chen, Xiaoming;  Yan, Liang;  Han, Yinhe
收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01
processing-in-memory (PIM)  von Neumann bottleneck  memory wall  PIM simulator  architecture-level PIM  
PIMSim: A Flexible and Detailed Processing-in-Memory Simulator 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2019, 卷号: 18, 期号: 1, 页码: 6-9
作者:  Xu, Sheng;  Chen, Xiaoming;  Wang, Ying;  Han, Yinhe;  Qian, Xuehai;  Li, Xiaowei
收藏  |  浏览/下载：85/0  |  提交时间：2019/04/03
Processing-in-memory  simulator  heterogeneous computing  memory system