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Algorithms and Architectures for Parallel Processing

20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part II

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Meikang Qiu

    1. Columbia University, New York, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12453)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICA3PP 2020.

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Table of contents (48 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Parallel Computing with AI and Big Data (PAB)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Distributing Data in Real Time Spatial Data Warehouse

      • Wael Hamdi, Sami Faiz
      Pages 3-13

    3. Accelerating Sparse Convolutional Neural Networks Based on Dataflow Architecture

      • Xinxin Wu, Yi Li, Yan Ou, Wenming Li, Shibo Sun, Wenxing Xu et al.
      Pages 14-31

    4. DAFEE: A Scalable Distributed Automatic Feature Engineering Algorithm for Relational Datasets

      • Wenqian Zhao, Xiangxiang Li, Guoping Rong, Mufeng Lin, Chen Lin, Yifan Yang
      Pages 32-46

    5. Embedding Augmented Cubes into Grid Networks for Minimum Wirelength

      • Jingjing Xia, Yan Wang, Jianxi Fan, Weibei Fan, Yuejuan Han
      Pages 47-61

    6. ELVMC: A Predictive Energy-Aware Algorithm for Virtual Machine Consolidation in Cloud Computing

      • Da-ming Zhao, Jian-tao Zhou, Shucheng Yu
      Pages 62-81

    7. Design of a Convolutional Neural Network Instruction Set Based on RISC-V and Its Microarchitecture Implementation

      • Qiang Jiao, Wei Hu, Yuan Wen, Yong Dong, Zhenhao Li, Yu Gan
      Pages 82-96

    8. Optimizing Accelerator on FPGA for Deep Convolutional Neural Networks

      • Yong Dong, Wei Hu, Yonghao Wang, Qiang Jiao, Shuang Chen
      Pages 97-110

    9. HpQC: A New Efficient Quantum Computing Simulator

      • Haodong Bian, Jianqiang Huang, Runting Dong, Yuluo Guo, Xiaoying Wang
      Pages 111-125

    10. Outsourced Privacy-Preserving Reduced SVM Among Multiple Institutions

      • Jun Zhang, Siu Ming Yiu, Zoe L. Jiang
      Pages 126-141

    11. A Distributed Business-Aware Storage Execution Environment Towards Large-Scale Applications

      • Feng Jiang, Yongyang Cheng, Changkun Dong, Zhao Hui, Ruibo Yan
      Pages 142-156

    12. QoS-Aware and Fault-Tolerant Replica Placement

      • Jingkun Hu, Zhihui Du, Sen Zhang, David A. Bader
      Pages 157-172

    13. Neural Network Compression and Acceleration by Federated Pruning

      • Songwen Pei, Yusheng Wu, Meikang Qiu
      Pages 173-183

    14. Scalable Aggregation Service for Satellite Remote Sensing Data

      • Jianwu Wang, Xin Huang, Jianyu Zheng, Chamara Rajapakshe, Savio Kay, Lakshmi Kandoor et al.
      Pages 184-199

    15. Edge-Assisted Federated Learning: An Empirical Study from Software Decomposition Perspective

      • Yimin Shi, Haihan Duan, Yuanfang Chi, Keke Gai, Wei Cai
      Pages 200-214

    16. A Dynamic Partitioning Framework for Edge-Assisted Cloud Computing

      • Zhengjia Cao, Bowen Xiao, Haihan Duan, Lei Yang, Wei Cai
      Pages 215-229

    17. Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities

      • Dapeng Lan, Amir Taherkordi, Frank Eliassen, Zhuang Chen, Lei Liu
      Pages 230-244

    18. A Novel Clustering-Based Filter Pruning Method for Efficient Deep Neural Networks

      • Xiaohui Wei, Xiaoxian Shen, Changbao Zhou, Hengshan Yue
      Pages 245-258

    19. Fast Segmentation-Based Object Tracking Model for Autonomous Vehicles

      • Xiaoyun Dong, Jianwei Niu, Jiahe Cui, Zongkai Fu, Zhenchao Ouyang
      Pages 259-273
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Other volumes

  1. Algorithms and Architectures for Parallel Processing

  2. Algorithms and Architectures for Parallel Processing

  3. Algorithms and Architectures for Parallel Processing

Keywords

About this book

This three-volume set LNCS 12452, 12453, and 12454 constitutes the proceedings of the 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020.

The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions.

ICA3PP is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications. ICA3PP 2020 focuson two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications.

Editors and Affiliations

  • Columbia University, New York, USA

    Meikang Qiu

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