Call for paper 〔OPEN〕

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Registration 〔OPEN〕

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Following the successful PAAP’08 in Hefei, PAAP’09 in Nanning, PAAP’10 in Dalian, and PAAP’11 in Tianjin, PAAP’12 in Taipei, PAAP’14 in Beijing, PAAP’15 in Nanjing, PAAP’17 in Haikou, the Nineth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP’18) will be held in Taipei, Taiwan during December 26-28, 2018. The PAAP’18 aims at addressing advances in research on parallel computing and information security, covering topics from theoretic studies to technology issues and applications. The conference is to provide a forum for scientists and engineers in academia and industry to present their research results and development activities in all aspects of computer engineering and it also provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration, especially. We devoutly wish participants to learn the basic theory of a gradual approach, practical experimental data, new business models, and the latest academic trends from this conference. 
    PAAP’18 is sponsored by IEEE Computer Society (Taipei Section). The conference of PAAP’18 will be organized by the National Taiwan University of Science and Technology (NTUST). NTUST is located in Taipei city very close to the 101 building, the building ranked officially as the world's tallest from 2004 until the opening of the Burj Khalifa in Dubai in 2010; also it is in the vicinity of the National Palace Museum, which houses hundreds of thousands of Chinese antiques and art works.


Honorary Chairs:

Ching-Jong Liao, National Taiwan Univ. of Sci. and Tech., Taiwan 
Guoliang Chen Shenzhen U./U. of Sci. & Tech., China

General Chair:

Shi-Jinn Horng, Southwest Jiaotong University ; National Taiwan Univ. of Sci. and Tech 
Jie Lu Australia

General Co-Chairs:

Hong Shen The University of Adelaide, Australia 
Nyamjav Jambaljav National University of Mongolia, Mongolia

Organizing Chairs:

Tianrui Li Southwest Jiaotong University 
Hongjun Wang Southwest Jiaotong University

Program Co-Chairs:

Yi Pan Georgia State University, Atlanta GA 
Huei-Wen Ferng Nat. Taiwan Univ. of Sci. and Tech 
Depei Qian Sun Yat-sen Univ. /Beihang Univ. 
Muhammad Khurram, King Saud University, Saud Arabia Spain

Publications Chairs:

Hsing-Kuo Pao, National Taiwan Univ. of Sci. and Tech., Taiwan 
Yingpeng Sang Sun Yat-Sen University, China

Publicity Chair:

Bi-Ru Dai National Taiwan Univ. of Sci. and Tech.

Local Arrangement Chair:

Jen-Wei Hsieh National Taiwan Univ. of Sci. and Tech

Registration and Finance Chair:

Wei-Chung Teng National Taiwan Univ. of Sci. and Tech

Program Committee:

Yung-Shun Tsai, China university of technology, Taiwan. 
Xiaopeng Fan, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. 
Ruey-Shun Chen, China university of technology, Taiwan. 
Hamid Arabnia, University of Georgia, USA 
Ümit V. Çatalyürek, Georgia Institute of Technology, USA 
Yi-Bing Lin, National Chiao Tung University, Taiwan 
Chen-Chien Hsu, National Taiwan Normal University, Taiwan 
Chia-Feng Juang, National Chung Hsing University, Taiwan 
Han-Chie Chao, National Ilan University, Taiwan 
Ling Chen, Yangzhou University, China 
Yawen Chen, Otago University, New Zealand 
Zhenhua Duan, Xidian University, China 
Karl Fuerlinger, Ludwig-Maximilians Univ., Germany 
Satoshi Fujita, Univ. of Hiroshima, Japan 
Longkun Guo, Fuzhou University, China 
Yijie Han, University of Missouri-Kansas City, USA 
Shi-Jinn Horng, Nat. Taiwan U. of Sci. & Tech., Taiwan 
Ching-Hsien Hsu, Chung Hua University, Taiwan 
Haping Huang, Nanjing U. of Posts and Tel., China 
Jiwu Huang, Shenzhen University, China 
Zhiyi Huang, Otago University, New Zealand 
Mirjana Ivanovic, University of Novi Sad, Serbia 
Cruz Izu, University of Adelaide, Australia 
Graham Kirby, University of St Andrews, UK 
Jianhuang Lai, Sun Yat-Sen University, China 
Francis Lau, Univ. of Hong Kong, Hong Kong 
Laurent Lefevre, INRIA, France 
Kenli Li, Hunan University, China 
Xiaoming Li, Peking University, China 
Yamin Li, Hosei University, Japan 
Yidong Li, Beijing Jiaotong University, China 
Sangsong Liang, Univ. College London, UK 
Haixiang Lin, Delft Univ. of Tech., Netherlands 
Xiaola Lin, Sun Yat-Sen University, China 
Alex X. Liu, Michigan State University, USA 
Kezhong Lu, Shenzhen University, China 
Manu Malek, Stevens Institute of Technology, USA 
Rui Mao, Shenzhen University, China 
Teruo Matsuzawa, JAIST, Japan 
Koji Nakano, Hiroshima University, Japan 
Lionel M. Ni, Hong Kong Univ. of Sci. and Tech., China 
Ge Nong, Sun Yat-Sen Univ., China 
Yi Pan, Georgia State University, USA 
Marcin Paprzycki, Warsaw School of Social Psy., Poland 
Depei Qian, Beihang University, China 
Zhao Qiu, Hainan University, China 
Marcel C. Rosu, IBM TJ Watson, USA 
Frode Eika Sandnes, Oslo Univ. College, Norway 
Yingpeng Sang, Sun Yat-sen University, China 
Neetesh Saxena, Georgia Tech., USA 
Xiaojun Shen, Univ. of Missouri-Kansas City, USA 
Oliver Sinnen, Univ. of Auckland, New Zealand 
Guangzhong Sun, Univ. of Sci. and Tech. of China, China 
Shaohua Tang, South China Univ. of Tech., China 
Haitao Tian, Sun Yat-Sen Univ., China 
Hui Tian, Beijing Jiaotong University, China 
Ye Tian, Univ. of Sci. & Tech. of China, China 
Teofilio Gonzalez, UC Santa Barbara, USA 
Benjamin W. Wah, Chinese Univ. of Hong Kong, China 
Yan Wang, Suzhou University, China 
Andrew Wendelbourne, Univ. of Adelaide, Australia 
Jigang Wu, Guangdong Univ. of Tech., China 
Chao-Tung Yang, Tunghai University, Taiwan 
Fangguo Zhang, Sun Yat-Sen Univ., China 
Haibo Zhang, Otago University, New Zealand 
Xianchao Zhang, Dalian Univ. of Tech., China 
Yunquan Zhang, Institute of Software, China 
Wei Zhao, University of Macau, China 
Siqing Zheng, Univ. of Texas at Dallas, USA 
Cheng Zhong, Guangxi University, China

Call for paper

Important date

Draft paper submission deadline

Submission Topics


We are inviting new and unpublished papers on, but not limited to, the following topics:


  • Multi/many-core architectures    
  • Interconnection networks    
  • Cluster, grid and cloud computing systems    
  • Network-on-chip architectures    
  • Survivable and safety-critical systems    
  • Ubiquitous computing systems    
  • Sensor, wireless and RFID systems    
  • Reconfigurable architectures    
  • Self-healing, self-protecting network systems


  • Combinatorial and graph algorithms
  • Numeric algorithms
  • Task mapping and job scheduling
  • Parallel/distributed databases and knowledge discovery
  • High-performance scientific computing
  • Resource allocation and management
  • Power-aware Computing
  • Secure distributed computing
  • Network routing and traffic control

Parallel Programming:

  • Multi/many-core programming    
  • Parallel programming theory and models    
  • Formal methods and verification 
  • Middleware for parallel systems    
  • Parallel programming languages 
  • Parallel compilers and runtime systems    
  • Performance analysis, debugging and optimization 
  • Parallel libraries and application frameworks    

High Performance Systems:

  • Operating systems for parallel/distributed systems
  • High-performance computer arithmetic
  • Memory hierarchy and caching 
  • Performance tuning, optimization and profiling
  • Human-computer interaction in parallel/distributed systems
  • Photonic and quantum computing
  • Media computing in parallel/distributed systems 
  • Software engineering for parallel/distributed system

Privacy and Security:

  • Cloud security    
  • Data privacy protection    
  • Cryptography    
  • Intrusion detection    
  • Copyright protection    
  • Access control    
  • Data provenance    
  • Trusted computing    
  • Big Data Processing and Deep Learning:
  • Mass data stream processing in clouds
  • Big data models and computation theory
  • Big data mining and fusion
  • Dimension reduction for large data sets
  • Big data placement, scheduling and optimization 
  • Multi-source data processing and integration
  • Deep learning models
  • Deep learning applications 
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