Topics of Interest

Topics of interest include, but are not limited to:

    Parallel and distributed algorithms
    Parallel, concurrent, and distributed data structures
    Parallel complexity theory
    Scheduling algorithms for parallel machines
    Computational models for parallel and distributed computing
    Interplay between algorithmic parallelism, programming, and architecture
    Parallel programming languages
    Parallel programming frameworks and domain-specific languages
    System software for parallel and concurrent programming, including (but not limited) to runtime systems, compilers, and tools
    Parallel and distributed architectures
    Supercomputer architecture and high-performance computing
    Instruction-level parallelism and VLSI
    Parallelism in emerging hardware platforms, including AI accelerators, processing-in-memory, and quantum computing
    Energy-efficient (“green”) computing and power-aware architectures
    Transactional memory: hardware and software
    Management and processing of massive data sets
    Memory or I/O-efficient algorithms
    Parallelism in machine learning
    Routing and information dissemination
    Peer-to-peer systems
    Mobile, ad hoc, and sensor networks