中国科学院计算技术研究所机构知识库

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	PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 5, 页码: 1745-1759 作者:  Sun, Xiaotian;  Wang, Xinyu;  Li, Wanqian;  Han, Yinhe;  Chen, Xiaoming 收藏  |  浏览/下载：5/0  |  提交时间：2025/06/25 Hardware  Optimization  Artificial neural networks  Pipelines  Parallel processing  Biological system modeling  Resource management  Adaptation models  Scheduling  Memory management  Deep neural network (DNN)  end-to-end compiler  processing-in-memory (PIM) accelerator  system-level optimization
	Identifying Optimal Workload Offloading Partitions for CPU-PIM Graph Processing Accelerators 期刊论文 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2025, 页码: 12 作者:  Xu, Sheng;  Li, Chun;  Luo, Le;  Zhou, Wu;  Yan, Liang;  Chen, Xiaoming 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Program processors  Logic  Codes  Arrays  Runtime  Electronic mail  Accuracy  Very large scale integration  Training  Through-silicon vias  Graph processing  heterogenous systems  processing-in-memory (PIM)  reuse distance (RD)  workload offloading
	Pyramid: Accelerating LLM Inference With Cross-Level Processing-in-Memory 期刊论文 IEEE COMPUTER ARCHITECTURE LETTERS, 2025, 卷号: 24, 期号: 1, 页码: 121-124 作者:  Yan, Liang;  Lu, Xiaoyang;  Chen, Xiaoming;  Han, Yinhe;  Sun, Xian-He 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Graphics processing units  Decoding  Computational modeling  Parallel processing  Systolic arrays  Computer architecture  Table lookup  Random access memory  Interpolation  Transformers  Large language models  Processing-in-memory
	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：24/0  |  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
	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：27/0  |  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：28/0  |  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：40/0  |  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：61/0  |  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：44/0  |  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：66/0  |  提交时间：2021/12/01 processing-in-memory (PIM)  von Neumann bottleneck  memory wall  PIM simulator  architecture-level PIM