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.