Scope and Topics

We invite submissions of original and unpublished research on, but not limited to, the following topics:

Networking and Architectures

    Parallel and distributed architectures
    Interconnection networks
    Heterogeneous and multimedia systems
    Reliability, availability, and fault tolerance
    Ubiquitous and pervasive computing systems
    ATM and high-speed networks
    Computer networks and optical networks
    Communication and telecommunication systems
    Wireless networks and mobile computing
    Internet of Things (IoT)
    Cloud and grid computing systems
    Edge and fog computing
    Reconfigurable computing architectures

Algorithms and Applications

    Artificial Intelligence algorithms
    Database systems and data mining
    Intelligent computing and neural networks
    Parallel and distributed algorithms
    Big data computing and analytics
    Distributed data and knowledge-based systems
    Image processing and computer graphics
    High-performance scientific computing
    Reconfigurable high-performance computing systems
    Resource allocation and management
    Network routing and communication algorithms
    Bioinformatics and computational biology

Software Systems and Technologies

    Task mapping and job scheduling
    Formal methods and programming languages
    Internet computing and applications
    Quantum computing and algorithms
    Image processing and computer vision
    Agent-based technologies
    Operating systems and system software
    Software tools and development environments
    Parallelizing compilers and optimization
    Web services and distributed applications
    Component-based software technologies
    Simulation, modeling, and visualization

Security and Privacy

    Distributed federated learning paradigms
    Quantum-enabled federated learning frameworks
    Privacy-preserving mechanisms for artificial intelligence
    Security of artificial intelligence systems
    Privacy-preserving crowd intelligence
    Attack and defense algorithms in federated learning
    Attack and defense strategies for edge computing
    Quantum-based defense mechanisms in federated learning paradigms
    Privacy-preserving computation techniques
    Database security and cloud security
    Access control, authorization, and biometric security

High-Performance Systems

    Operating systems for parallel and distributed systems
    High-performance computer arithmetic
    Memory hierarchy and caching
    Performance tuning, optimization, and profiling
    Human-computer interaction in parallel and distributed systems
    Photonic and quantum computing
    Media computing in parallel and distributed systems
    Software engineering for parallel and distributed systems

Big Data Management and Processing

    Massive data stream processing in cloud environments
    Graph analytics, social networks, and the semantic web
    Data systems for knowledge discovery, data mining, and machine learning
    Big data models and computational theory
    Crowdsourced and collaborative data management
    Distributed, decentralized, and parallel data management, including blockchain systems
    Processing and analytics for graphs, social networks, and semantic web data
    Security, privacy, and ethics in data and analytics
    Multi-source data processing and integration
    Deep learning models and applications