Computer Science and Technologies

★Full Name: The 2021 12th International Symposium on Parallel Architectures, Algorithms and Programming
★Abbreviation: PAAP 2021

★Venue: Xi'an, China
★Date: December 10th-12th, 2021
★Website: http://www.paap2021.org/
★Submission Link: https://easychair.org/conferences/?conf=paap21

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, PAAP’18 in Taiwan, PAAP’19 in Shenzhen, the 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP’21) will be held in Xi'an, China, December 10-12, 2021. PAAP 2021 will provide a forum for scientists and engineers in academia and industry to present their research results and development activities in all aspects of parallel architectures, algorithms and programming techniques. 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 2021 will be organized by Xidian University. Directly under the Ministry of Education, XDU is a national key university featuring electronic and information science. According to the latest report of ESI, the engineering and computer science disciplines are listed among top 0.1% in the world, and computer science ranks 28th in the world. In the Fourth National Assessment of First-level disciplines, 3 disciplines at Xidian University have been rated A. Electronic Science and Technology is rated A+, ranking #1 nationwide, Information and Communication Engineering A, and Computer Science and Technology A-.

★Organized By:
Xidian University

★Keynote Speaker:
Prof. Baochun Li, IEEE Fellow, University of Toronto, Canada.

★Conference Committee:
=Honorary Chair=
Guoliang Chen, Nanjing University of Posts and Telecommunications, China.

=General Chairs=
Yintang Yang, Xidian University, China;
Hong Shen, Sun Yat-Sen University, China,

=Organizing Chair=
Huaxi Gu, Xidian University, China;
Jianfeng Zhan, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), China,

=Program Chair=
Zhetao Li, Xiangtan University, China;
Zhibo Wang, Zhejiang University, China;
Yi Wang, Shenzhen University, China,

=Local Arrangement Chairs=
Gang Shi, Xidian University, China;
Xiaoshan Yu, Xidian University, China.

=Publicity Chairs=
Shu Fu, Chongqing University, China;
Jing Zhang, Xi'an University of Science and Technology, China.

=Publication Chair=
En Shao, The Institute of Computing Technology of the Chinese Academy of Sciences, China.

=Workshop & Tutorial Chairs=
Zhanmao Cao, South China Normal University, China;
Yaodong Cheng, Inst. of High Energy Phys, CAS, China;
Guoliang Chen, Nanjing University of Posts and Telecommunications, China;
Yawen Chen, Otago University, New Zealand;
Teofilio Gonzalez, UC Santa Barbara, USA;
Haibin Guan, Shanghai Jiaotong University, China;
Jigang Wu, Guangdong University of Technology, China;
Longkun Guo, Fuzhou University, China;
Shi-Jin Horng, National Taiwan University of Science and Technology, China;
Ziyi Huang, Otago University, New Zealand;
Hai Jin, Huazhong University of Science and Technology, China;
Kenli Li, Hunan University, China;
Keqiu Li, Tianjin University, China;
Yamin Li, Hosei University, Japan;
Weifa Liang, Australian National University, Australia;
Zhongzhi Luan, Beihang University, China;
Rui Mao, Shenzhen University, China;
Depei Qian, Sun Yat-sen University/Beihang University, China;
Yingpeng Sang, Sun Yat-Sen University, China;
Hui Tian, Griffith University, Australia;
Di Wu, Sun Yat-Sen University, China;
Nong Xiao, Sun Yat-sen University/Beihang University, China;
Haibo Zhang, Otago University, New Zealand;
Yunquan Zhang, Institute of Computing Technology, CAS, China;
Cheng Zhong, Guangxi University, China;
Yongfeng Dong, Hebei University of Technology, China;
Yang Ming, Chang'an University, China;
Xinhong Hei, Xi'an University of Technology, China;
Yanping Chen, Xi’an University of Posts and Telecommunications, China;
Xuehong Sun, Ningxia University, China;
Jianhui Yue, Michigan Technological University, Houghton, Michigan;
Quan Chen, Shanghai Jiao Tong University, China;
Leonel Sousa, Universidade de Lisboa, Portugal;
Therese M. Smith, Worcester Polytechnic Institute, Massachusetts, USA.

★Topics:
* Architectures:
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

* Algorithms:
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

★Publication:
Submissions to PAAP 2021 will be peer reviewed on the basis of technical quality, relevance to conference topics, originality, significance, clarity, etc. Accepted papers will be published in the Conference Proceedings by IEEE, which will be included into IEEE Xplore and submitted to be indexed by Ei Compendex and Scopus after the conference.

★Special Issues:
Extended versions of selected papers will be recommended to special issues of several SCI-indexed international journals including:
1. Journal of Supercomputing;
2. Concurrency and Computation;
3. Computers and Electrical Engineering;
4. Computer Science and Information Systems;
5. Journal of Computer Science and Technology;

★Paper Submission Guidelines:
1. English is the official language of the conference; the paper should be written and presented only in English.
2. Only work that has not been previously published at the time of the conference will be considered.
3. Prior to make the submission, please prepare your full paper or abstract according to the template. Full paper should be at least 4 Pages under the format. Regular registration fee only covers one 5 pages paper. Additional pages will cost extra fees.

★Contact Us:
Email: paap2021@yaang.cn
Tel.:+86-28-87555888
Mobile: +86-13281280917