Wednesday, October 21, 2020

[DMANET] CFP: PDCAT-PAAP 2020 at Shenzhen, China, Dec. 28-30, 2020

[Apologies for cross posting]

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The Joint International Conference PDCAT-PAAP 2020,

the 21st International Conference on Parallel and Distributed Computing,
Applications and Technologies (PDCAT'20) and the 11th International
Symposium on Parallel Architectures, Algorithms and Programming (PAAP'20)


Shenzhen, China

December 28-30, 2020.

http://hpcc.siat.ac.cn/meeting/pdcat-paap2020/index.html

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The International Conference on Parallel and Distributed Computing,
Applications and Technologies (PDCAT) and International Symposium on
Parallel Architectures, Algorithms and Programming (PAAP) are major forums
for scientists, engineers, and practitioners throughout the world to
present the latest research, results, ideas, developments and applications
in all aspects of parallel and distributed computing, 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. During these 20 years, PDCAT and PAAP had been
successfully held in many countries including China, Japan, Korea,
Singapore, Australia and New Zealand across Asia-Oceania.

Extended versions of selected papers will be recommended to special issues
of some SCI-indexed international journals. The tentative journals include
Tsinghua Science and Technology, Computers and Electrical Engineering,
Wireless Communications and Mobile Computing, Concurrency and Computation:
Practice and Experience, Computer Science and Information Systems, IEEE
Access. The invited papers will go through the normal reviewing process.


The steering committee, program, and organization chairs of PDCAT and PAAP
are closely monitoring the COVID-19 situation. The conference will be a mix
of physical and virtual attendance. Our community's health and safety are
our priority: attending the physical meeting and giving the talks will be
safe. A virtual presence will be possible in case of remaining safety
concerns or travel restrictions. The authors of the accepted papers will
have the choice to attend the conference virtually.


We are inviting new and unpublished papers on, but not limited to, the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

Networking and 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 and Applications:

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

All submissions are electronic via Springer's Online Conference Service
(OCS), and the submission server is now available at

https://ocs.springer.com/ocs/home/PDCAT-PAAP2020

Important Dates:

Paper submission: November 10, 2020

Notification acceptance: November 24, 2020

Camera-ready and Registration: December 01, 2020

Conference date: December 28-30, 2020

******** Main Organizers ********

Honorary Chair

Guoliang Chen, Nanjing Univ of Posts & Telecom, China

General Chairs

Jianping Fan, Shenzhen Institutes of Advanced Technology, CAS, China

Shengzhong Feng, Shenzhen Supercomp Centre, China

Hong Shen, Sun Yat-Sen University, China

Chengzhong Xu, University of Macau, China

Program Chairs

Yong Zhang, Shenzhen Institutes of Advanced Technology, CAS, China

Hui Tian, Griffith University, Australia

Haiying Shen, University of Virginia, USA

Francis Lau, The University of Hong Kong, China

Li Ning, Shenzhen Institutes of Advanced Technology, CAS, China

Advisory Chair

Francis Chin, The University of Hong Kong, China

Publications Chairs

Vincent Chau, Shenzhen Institutes of Advanced Technology, CAS, China

Yingpeng Sang, Sun Yat-sen University, China

Local Arrangement Chairs

Fumin Qi, Shenzhen Supercomp Centre, China

Xuelei Li, Shenzhen Institutes of Advanced Technology, CAS, China

Registration and Finance Chair

Yicheng Xu, Shenzhen Institutes of Advanced Technology, CAS, China

Contact us by: pdcat-paap2020@siat.ac.cn

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