Important Dates

July 15, 2023

Workshop Proposal Due

September 01, 2023
September 22, 2023

Paper Submission Deadline

October 01, 2023
October 22, 2023

Author Notification

October 31, 2023
November 10, 2023

Camera-ready Submission

November 10, 2023

Registration Deadline

December 17-21, 2023

Conference Date



The 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023) will be held in December 17-21, 2023, Ocean Flower Island (海花岛), Hainan, China. The conference provides an international forum for scientists, engineers and users to exchange and share their experiences, new ideas, and latest research results on all aspects of parallel and distributed systems. Contributions are solicited in all areas of parallel and distributed systems research and applications. We invite you to submit your original contributions to ICPADS 2023.

Due to the free trade port policy, Hainan is visa-free for people from 59 countries. For details, please refer to the links of notice by the Government and the Moodie Davitt Report.

Please view the Aerial video of Ocean Flower Island (海花岛).


  • China tries out unilateral visa-free policy for six countries (France, Germany, Italy, the Netherlands, Spain and Malaysia).

  • For proceeding of each author, please check the latest Program booklet.
  • Topics

    We welcome high quality papers that describe original and unpublished research advancing the state of the art in ubiquitous intelligence and computing. Topics for submisions include but not limited to the following:

    Track 1: Algorithms & Architecture

    • Algorithms for distributed control systems
    • Algorithms for artificial intelligence
    • Algorithms for network optimization
    • Algorithms for databases and information retrieval
    • Distributed/parallel algorithms and application
    • Multi-core and massively parallel computing architectures

    Track 2: Big data & Machine Learning Systems

    • Algorithms for big data
    • Big data applications
    • Big data security and privacy
    • Data analytics
    • Distributed autonomous robotic systems
    • Distributed and federated machine learning systems
    • Machine learning for autonomous and trusted Vehicles

    Track 3: Security & Block-chain

    • Blockchain-based applications and services
    • Blockchain security and privacy
    • Security of NFT
    • Blockchain in cyber physical systems
    • Distributed database technology
    • Scalability issues in blockchain
    • Blockchain in edge and cloud computing
    • Blockchain-based applications and services

    Track 4: High-Performance Computing & Communications

    • High performance computing theory
    • High performance computing architectures
    • System software and middleware
    • Instruction-level and thread-level parallelism
    • Performance modeling and evaluation
    • Massively multicore systems
    • Network and system architectures
    • Multiscale simulations of complex systems
    • Large-scale molecular dynamics simulations

    Track 5: IoT & CPS

    • Smart city applications
    • Intelligent cyber-physical systems
    • Cyber-physical social systems
    • IoT, mobile and embedded architectures
    • IoT security and privacy
    • Industrial IoT
    • Cyber-physical system security
    • Model checking for autonomous and trusted vehicles
    • Model-based system design for autonomous and trusted vehicles

    Track 6: Cloud & Edge Computing

    • Algorithms for cloud computing
    • Edge Intelligence applications
    • Cloud computing security
    • Performance modeling and analysis of parallel or distributed computing
    • Cloud programming models and tools
    • Cloud and edge computing algorithms design
    • Cloud and edge infrastructure management
    • Deploying large-scale analytics
    • Performance and scalability for cloud and edge
    • Tools for cloud and edge


    For any question, please do not hesitate to contact us via email or WeChat:

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