Scope and Topics

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 and Heterogeneous Architectures
    Parallel Programming Paradigms
    Energy-Efficient Parallel and Distributed Systems
    Service-oriented Architectures
    Blockchain Architecture
    Quantum and Neuromorphic Computing Architectures
    Hardware Accelerators for Generative AI

Track 2: Software Systems and Programming Models

    Cluster, Distributed & Parallel Operating Systems and Middleware
    System Software for Parallel and Concurrent Programming
    Programming Models for Compute, Storage and Memory
    Parallel File Systems and Storage
    Parallel and Distributed Databases
    Parallel Programming Theory and Models
    Tools for Programming and Analysis of System Software
    Serverless Computing and Cloud-Native Platforms

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
    Federated Learning and Decentralized AI
    Distributed Training and Inference for Foundation Models (LLMs)
    Multimedia in Parallel Computing
    Parallel Computing in Bioinformatics
    Industrial Applications

Track 4: Service Dependability and Security in Distributed and Parallel Systems

    Dependability Issues in 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
    Zero-Trust Architectures in Distributed Systems

Track 5: Network Architectures and Algorithms

    Wireless and Mobile Networks
    High Performance Networks and Communication
    AI/Machine Learning for Networking
    Network and Interconnect Architectures
    SDN, NFV and Network Programming
    Energy Efficiency in Networks
    Network Measurement and Parallel Processing
    Edge-to-Cloud Continuum and Orchestration

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 Big Data
    Big Data Benchmarking, Monitoring, and Management
    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 for IoT
    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 and Networks
    Cyber-Physical-Social Applications
    Digital Twins and Industrial IoT (IIoT)

Track 8: Performance Modeling and Evaluation

    Performance of Parallel & Distributed Computing Systems
    Software and Hardware Reliability, Testing, Verification and Validation
    Tools and Environments for Parallel & Distributed Software Development
    Optimization, Modeling and Simulation
    Stochastic Analysis, Statistical Analysis and Simulation
    Planning, Scheduling and Quality-of-Service
    Game theory, Economics and Control Theory
    Performance Analysis of Large-scale AI Workloads