The IFIP International Conference on Network and Parallel Computing (NPC) is a prestigious annual gathering that serves as a global platform for researchers, academics, and industry professionals to explore and exchange cutting-edge ideas, research findings, and innovative solutions in the fields of network, distributed and parallel computing.

Topics of interest include, but are not limited to:

Networked, Distributed, and Parallel Computing Applications and Algorithms

    Networked, distributed, and parallel computing issues and opportunities with Artificial intelligence applications.
    Networked, distributed, and parallel algorithms for computational and data-enabled scientific, engineering, biological, and medical applications.
    Networked, distributed, and parallel algorithms for accelerators, neuromorphic architectures, and other emerging architectures.

Architectures and Systems

    Computing and network convergence technologies and systems, computing power networks, computing utility.
    Emerging architectures and systems at all scales, from embedded, device, edge to cloud.
    Novel distributed and parallel architectures and systems for AI model training and inference, domain-specific accelerators for AI.
    High-performance computing, systems for enabling parallelism at extreme scale.
    Power-efficient and green computing systems.
    Non-traditional Computing Technology.
    Neuromorphic architectures and cognitive computing accelerators.
    Heterogeneous multicore architectures and accelerators.
    In-memory and near-data computing.
    Network and interconnect architectures.
    Storage systems with novel architectures.

Software Environments and Tools

    Programming models and compilation for existing and emerging platforms.
    Dataflow programming models, frameworks, languages, and environments for data-enabled platforms.
    Virtualization of machines, networks, and storage.
    I/O, file systems, and data management.
    Resource management, scheduling, and load balancing.