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  1. No Access

    Chapter and Conference Paper

    GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks

    Graph neural networks (GNNs) have attracted increasing interests in recent years. Due to the poor data locality and huge data movement during GNN inference, it is challenging to employ GNN to process large-sca...

    Zhao Wang, Yi** Guan, Guangyu Sun, Dimin Niu, Yuhao Wang… in Advanced Computer Architecture (2020)

  2. No Access

    Book and Conference Proceedings

    Advanced Parallel Processing Technologies

    12th International Symposium, APPT 2017, Santiago de Compostela, Spain, August 29, 2017, Proceedings

    Yong Dou, Haixiang Lin, Guangyu Sun… in Lecture Notes in Computer Science (2017)

  3. No Access

    Chapter and Conference Paper

    Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

    Recently, deep convolutional neural networks (CNNs) have achieved excellent performance in many modern applications. These high performance models normally accompany with deep architectures and a huge number o...

    Bingzhe Wu, Zhichao Liu, Zhihang Yuan… in Artificial Neural Networks and Machine Lea… (2017)

  4. No Access

    Chapter and Conference Paper

    Improving Memory Access Performance of In-Memory Key-Value Store Using Data Prefetching Techniques

    In-memory Key-Value stores (IMKVs) provide significantly higher performance than traditional disk-based counterparts. As memory technologies advance, IMKVs become practical for modern Big Data processing, whic...

    PengFei Zhu, GuangYu Sun, Peng Wang… in Advanced Parallel Processing Technologies (2015)