Topics of interest (preliminary list):

    Parallel/distributed architectures, enabling technologies
    Quantum computing and communication
    Neuromorphic computing
    Computing beyond Moore's Law
    Cluster, cloud, edge and fog computing
    Multi-core and many-core parallel computing, GPU computing
    Heterogeneous/hybrid computing and accelerators
    Parallel/distributed algorithms: numerical and non-numerical
    Scheduling, mapping, load balancing
    Performance analysis and prediction
    Performance issues on various types of parallel systems
    Auto-tuning and auto-parallelization: methods, tools, and applications
    Power and energy aspects of computation
    Parallel/distributed programming
    Tools and environments for parallel/distributed computing
    Security and dependability in parallel/distributed environments
    HPC numerical linear algebra
    HPC methods of solving differential equations
    Evolutionary computing, meta-heuristics and neural networks
    Machine learning, artificial intelligence and HPC
    HPC interval analysis
    Applied Computing in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc.
    Applications of parallel/distributed computing
    Methods and tools for parallel solution of large-scale problems, including artificial intelligence and machine learning applications