We invite submissions of high-quality, novel, and original research results in areas of parallel and distributed computing, including but not limited to:

    Algorithms: resource-aware and power-efficient algorithms; real-time and fault-tolerant distributed/parallel algorithms; graph and network algorithms
    Applications: numerical and scientific applications with multi-level parallelism; applications with computations over irregular domains; models and methods to enhance functional/non-functional application characteristics
    Data-centric Processing: scientific workflows; large-scale data processing; large-scale data management; scalable and next-generation storage systems; I/O performance tuning, benchmarking, and middleware; FAIR/open data systems
    Distributed AI: Federated Learning; Distributed Learning; AI at scale; training of LLMs; benchmarking for AI workloads
    Distributed Computing: cluster, grid, fog/edge, mobile and cloud systems; Service-oriented processing; stochastic and approximate computing; cost, security, energy, and other non-functional requirements models and frameworks
    Parallel Computing: accelerator-based systems inc. GPU, FPGA, neuromorphic and post-CMOS devices; embedded parallel systems; dependability, survivability, and fault-tolerance; methodologies, benchmarking/metrics, performance analysis and tools
    Programming Models and Tools: programming languages, compilers, middleware and OS; libraries, runtime, and systems software; notations; performance prediction and analysis; simulation and modelling of parallel/distributed systems
    HPC state of practice: Managing systems and storage; managing facilities; HPC project management; moving, managing and sharing data HPC in the cloud; networking and cybersecurity; HPC training and education strategies; application workflows; system benchmarking
    Systems and Architectures: high data throughput and streaming architectures; memory organisation; service-oriented architectures; heterogeneous and hybrid systems; resource management; post-CMOS architectures inc. quantum, neuromorphic, and others