The 25th International Conference on Algorithmsand Architectures for Parallel Processing
Zhengzhou, Henan, China
October 30 - November 02, 2025
Important Dates
Workshop Proposal
May 15, 2025
Paper Submission
June 30, 2025
Authors Notification
August 15, 2025
Camera-Ready Submission
August 30, 2025
Registration Due
August 30, 2025
Conference Dates
October 30- November 02, 2025
Organizing Committee
Honorary Chair
Yang Xiang, Deakin University, Australia
General Chairs
Didier El Baz, LAAS-CNRS, France
Zizhong Chen, University of California at Riverside, USA
Gudula Runger, Chemnitz University of Technology, Germany
Program Chairs
Huazhong Liu, Hainan University, China
Shadi Ibrahim, INRIA, France
Thomas Rauber, University of Bayreuth, Germany
Program Vice-Chairs
Rong Gu, Nanjing University, China
Deze Zeng, University of Geosciences, China
Jiawei Huang, Central South University, China
Zhe Peng, The Hong Kong Polytechnic University, Hong Kong
Local Chair
Jihong Ding, Hainan University, China
Workshop Chair
Shaojun Zou, Hainan University, China
Publicity Chairs
Jing Guo,Hainan University, China
Wenxuan Zhang, Hainan University, China
Publicition Chairs
Binbin zhou, Hangzhou City University, China
Lan Yan, Hainan University, China
Registration Chair
Tingting Han, Hainan University, China
Web Chairs
Jiawei Wang, The University of Warwick, UK
Ren Li, Hainan University, China
Advisory Chairs
Laurence T. Yang, Zhengzhou University, China
Zheng Yan, Xidian University, China
Download CFP: PDF
ICA3PP 2025 provides a forum for academic researchers and industry practitioners to present
research progresses, exchange new ideas, and identify future directions in the fields of Parallel and
Distributed Architectures, Software Systems and Programming Models, Parallel and Distributed
Algorithms and Applications, Service Dependability and Security in Distributed and Parallel Systems
and so on. ICA3PP 2025 is a CCF Rank-C conference. Accepted papers would be published by Springer
and submitted to the EI database. Excellent papers with extension will be recommended for special
issuesin renowned journals.
We invite submissions from academia, government and industry that present novel research on all aspects of parallel and distributed computing. Topics of ICA3PP include but are not limited to the following areas:
- Track 1: Parallel and Distributed Architectures – Parallel Architectures
- Track 2: Software Systems and Programming Models – Cluster, Distributed & Parallel Operating Systemsn and Middleware
- Track 3: Parallel and Distributed Algorithms and Applications – Reliability and Fault-tolerant Computing
- Track 4: Service Dependability and Security in Distributed and Parallel Systems – Dependability Issuesin Computer Networks and Communications
– Parallel Programming Paradigms
– Heterogeneous Systems
– Energy-Efficient Parallel and Distributed Systems
– Service-oriented Architectures
– Blockchain Architecture
– Emerging Computing Architectures
– System Software for Parallel and Concurrent Programming
– Programming Modelsfor Compute and Storage
– Parallel File Systems and Storage
– Parallel and Distributed Databases
– Parallel Programming Theory and Models
– Tools for Programming and Analysis of System Software
– High-performance Scientific Computing
– Parallel and Distributed Algorithms
– Resource Management and Scheduling
– Parallel and Distributed AI/Machine Learning
– Multimedia in Parallel Computing
– Parallel Computing in Bioinformatics
– Industrial Applications
– Dependability in Parallel and Distributed Systems
– Dependability of Software Defined Networks
– Self-healing, Self-protecting and Fault-tolerant Systems
– Network and Information Security
– Trust, Security and Privacy in Cloud computing,Social Networks,and Internet of Things
– Security and Privacy in Parallel and Distributed Computing
- Track 5: Network Architectures and Algorithms – Wireless and MobileNetworks
- Track 6: Big Data Management and Analysis – Architecture, Networks and Systems of Big Data
- Track 7: Internet of Things and Cyber-Physical-Social Computing – Machine Learning and Edge AI forIoT
- Track 8: Performance Modeling and Evaluation – Performance of Parallel & Distributed Computing Systems
– High Performance Networks and Communication
– AI/Machine Learning for Networking
– Network and Interconnect Architectures
– SDN,NFV andNetwork Programming
– Energy Efficiency in Networks
– Network Measurement and Parallel Processing
– Big Data Applications, Algorithms and Data Structures
– Research and Development Trends of BigData
– Big Data Benchmarking, Monitoring,andManagement
– Security and Privacy of Big Data
– Big Data Interoperability and Orchestration
– Parallel Processing for Big Data
– Distributed Data Analytics and Applications
– Pervasive/Ubiquitous Control, Computing and Networking
– Social Computing and Analytics on Cyber-Physical Data
– Smart Communities with Cyber-Physical-Social Systems
– Ubiquitous Sensing in Social Networks
– Cyber-Physical-Social Systems andNetworks
– Cyber-Physical-Social Applications
– Software and Hardware Reliability, Testing, Verification and Validation
– Tools and Environmentsfor Parallel & Distributed Software Development
– Optimization, Modeling and Simulation
– StochasticAnalysis,Statistical Analysis and Simulation
– Planning, Scheduling and Quality-of-Service
– Game theory, Economics and Control Theory
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