International Parallel & Distributed Processing Symposium (IPDPS 2018)

Topics of interest include but are not limited to the following re-defined topic areas:

• Parallel and distributed computing theory and algorithms (Algorithms): Design and analysis of novel numerical and combinatorial parallel algorithms; protocols for resource management; communication and synchronization on parallel and distributed systems; parallel algorithms handling power, mobility, and resilience.

• Experiments and practice in parallel and distributed computing (Experiments): Design and experimental evaluation of applications of parallel and distributed computing in simulation and analysis; experiments in the use of novel commercial or research architectures, accelerators, neuromorphic architectures, and other non-traditional systems; algorithms for cloud computing; domain-specific parallel and distributed algorithms; performance modeling and analysis of parallel and distributed algorithms.

• Programming models, compilers and runtimes for parallel applications and systems (Programming Models): Parallel programming paradigms, models and languages; compilers, runtime systems, programming environments and tools for the support of parallel programming; parallel software development and productivity.

• System software and middleware for parallel and distributed systems (System Software): Design and experimental evaluation of operating systems, schedulers, resource managers, storage systems, workflow systems, and frameworks targeting multicores and distributed cloud and HPC systems..

• Architecture: Architectures for instruction-level and thread-level parallelism; memory technologies and hierarchies; exascale system designs; data center architectures; novel big data architectures; special-purpose architectures and accelerators; network and interconnect architectures; parallel I/O and storage systems; power-efficient and green computing systems; resilience and dependable architectures; performance modeling and evaluation.

• Multidisciplinary: Papers that cross the boundaries of the previous tracks are encouraged and can be submitted to the multidisciplinary track. During submission of multidisciplinary papers, authors should indicate their subject areas that can come from any area. Contributions should either target two or more core areas of parallel and distributed computing where the whole is larger than sum of its components, or advance the use of parallel and distributed computing in other areas of science and engineering.