Scope:

PPoPP is the premier forum for leading work on all aspects of parallel and performance programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, applications, and practical experience. This symposium focuses on improving the programming productivity and performance engineering of all concurrent and parallel systems - multicore, multi-threaded, heterogeneous, clustered, and distributed systems, grids, accelerators such as ASICs, GPUs, FPGAs, data centers, clouds, large scale machines, and quantum computers. PPoPP is also interested in new and emerging parallel workloads and applications, such as artificial intelligence and large-scale scientific/enterprise workloads.

Specific topics of interest include (but are not limited to):

    Languages, compilers, and runtime systems for parallel programs
    Parallel programming frameworks and domain-specific languages
    Parallel programming for emerging hardware, including AI accelerators, processor-in-memory, programmable logic, and non-volatile memory technologies
    High-performance libraries
    Parallel programming for deep memory hierarchies including nonvolatile memory
    Parallel algorithms
    Parallel applications including scientific computing and enterprise workloads
    Artificial intelligence and machine learning for parallel systems, including their use in system design, optimization, and runtime decisions
    Development, analysis, or management tools
    Performance analysis, debugging and optimization
    Productivity tools for parallel systems
    Software engineering for parallel programs
    Parallel programming theory and models
    Formal analysis and verification
    Concurrent data structures
    Synchronization and concurrency control
    Fault tolerance for parallel systems
    Middleware for parallel systems

Papers should report on original research relevant to parallel programming and should contain enough background materials to make them accessible to the entire parallel programming research community. Papers describing experience should indicate how they illustrate general principles or lead to new insights; papers about parallel programming foundations should indicate how they relate to practice. PPoPP submissions will be evaluated based on their technical merit and accessibility. Submissions should clearly motivate the importance of the problem being addressed, compare to the existing body of work on the topic, and explicitly and precisely state the paper’s key contributions and results towards addressing the problem. Submissions should strive to be accessible both to a broad audience and to experts in the area.