ICA3PP 2025 is the 25th in this series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing. ICA3PP is a famous event worldwide that covers many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. With the booming computing demands from every aspect of modern society, parallel processing has become increasingly critical and challenging. This conference provides a forum for academics and practitioners from all over the world to exchange ideas on improving the efficiency, performance, reliability, security and interoperability of computing systems and applications.

Following the traditions of previous successful ICA3PP conferences held in Macao, Copenhagen, Brisbane, Singapore, Hong Kong, Beijing, Hangzhou, Cyprus, Taipei, Busan, Melbourne, Fukuoka, Vietri sul Mare, Dalian, Zhangjiajie, Granada, Helsinki, Guangzhou, New York City, Xiamen and Tianjin, ICA3PP 2025 will be held in Zhengzhou, China. The objective of ICA3PP 2025 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2025 will focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications. In this year, ICA3PP 2025 will be organized by Zhengzhou University.

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
    – Parallel Programming Paradigms
    – Heterogeneous Systems
    – Energy-Efficient Parallel and Distributed Systems
    – Service-oriented Architectures
    – Blockchain Architecture
    – Emerging Computing Architectures

    Track 2: Software Systems and Programming Models
    – Cluster, Distributed & Parallel Operating Systemsn and Middleware
    – 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

    Track 3: Parallel and Distributed Algorithms and Applications
    – Reliability and Fault-tolerant Computing
    – 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

    Track 4: Service Dependability and Security in Distributed and Parallel Systems
    – Dependability Issuesin Computer Networks and Communications
    – 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
    – 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

    Track 6: Big Data Management and Analysis
    – Architecture, Networks and Systems of Big Data
    – 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

    Track 7: Internet of Things and Cyber-Physical-Social Computing
    – Machine Learning and Edge AI forIoT
    – 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

    Track 8: Performance Modeling and Evaluation
    – Performance of Parallel & Distributed Computing Systems
    – 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