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Advanced Parallel Processing Technologies

13th International Symposium, APPT 2019, Tianjin, China, August 15–16, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Pen-Chung Yew

    1. University of Minnesota, Minneapolis, USA

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  2. Per Stenström

    1. Chalmers University of Technology, Gothenburg, Sweden

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  3. Junjie Wu

    1. National University of Defense Technology, Changsha, China

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  4. Xiaoli Gong

    1. Nankai University, Tianjin, China

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  5. Tao Li

    1. Nankai University, Tianjin, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11719)

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

Included in the following conference series:

Conference proceedings info: APPT 2019.

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About this book

This book constitutes the proceedings of the 13th International Symposium on Advanced Parallel Processing Technologies, APPT 2019, held in Tianjin, China, in August 2019.
The 11 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections named: System Support for Neural Networks; Scheduling and File Systems; Optimization and Parallelization; Security and Algorithms.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xii
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  2. System Support for Neural Networks

    1. Front Matter

      Pages 1-1
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    2. RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors

      • Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou
      Pages 3-14

    3. Compiling Optimization for Neural Network Accelerators

      • Jin Song, Yimin Zhuang, Xiaobing Chen, Tian Zhi, Shaoli Liu
      Pages 15-26

    4. ZhuQue: A Neural Network Programming Model Based on Labeled Data Layout

      • Weijian Du, Linyang Wu, Xiaobing Chen, Yimin Zhuang, Tian Zhi
      Pages 27-39

  3. Scheduling and File Systems

    1. Front Matter

      Pages 41-41
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    2. Reducing Rename Overhead in Full-Path-Indexed File System

      • Longhua Wang, Youyou Lu, Siyang Li, Fan Yang, Jiwu Shu
      Pages 43-54

    3. Partition and Scheduling Algorithms for Neural Network Accelerators

      • Xiaobing Chen, Shaohui Peng, Luyang Jin, Yimin Zhuang, Jin Song, Weijian Du et al.
      Pages 55-67

  4. Optimization and Parallelization

    1. Front Matter

      Pages 69-69
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    2. SPART: Optimizing CNNs by Utilizing Both Sparsity of Weights and Feature Maps

      • Jiaming Xie, Yun Liang
      Pages 71-85

    3. DA-BERT: Enhancing Part-of-Speech Tagging of Aspect Sentiment Analysis Using BERT

      • Songwen Pei, Lulu Wang, Tianma Shen, Zhong Ning
      Pages 86-95

    4. Random Inception Module and Its Parallel Implementation

      • Yingqi Gao, Kunpeng Xie, Song Guo, Kai Wang, Hong Kang, Tao Li
      Pages 96-106

  5. Security and Algorithms

    1. Front Matter

      Pages 107-107
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    2. CBA-Detector: An Accurate Detector Against Cache-Based Attacks Using HPCs and Pintools

      • Beilei Zheng, Jianan Gu, Chuliang Weng
      Pages 109-122

    3. An Efficient Log Parsing Algorithm Based on Heuristic Rules

      • Lin Zhang, Xueshuo Xie, Kunpeng Xie, Zhi Wang, Ye Lu, Yujun Zhang
      Pages 123-134

    4. Distribution Forest: An Anomaly Detection Method Based on Isolation Forest

      • Chengfei Yao, Xiaoqing Ma, Biao Chen, Xiaosong Zhao, Gang Bai
      Pages 135-147

  6. Back Matter

    Pages 149-149
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Other volumes

  1. Advanced Parallel Processing Technologies

Editors and Affiliations

  • University of Minnesota, Minneapolis, USA

    Pen-Chung Yew

  • Chalmers University of Technology, Gothenburg, Sweden

    Per Stenström

  • National University of Defense Technology, Changsha, China

    Junjie Wu

  • Nankai University, Tianjin, China

    Xiaoli Gong, Tao Li

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