Abstract :
A library for parallel IO and data management has been developed for large-scale multi-physics simulations. The goal of the library is to provide sustainable, interoperable, efficient, scalable, and convenient tools for parallel IO and data management for high-level data structures in applications, and to provide tools for the connection between applications. The high-level data structures include one- and multi-dimensional arrays, structured meshes, unstructured meshes, and the meshes generated through adaptive mesh refinement. The IO mechanism can be collective and non-collective. The data objects suitable for the library could be either large or small data sets. Even for small data sets, the IO performance is close to one of MPI-IO performance.
Keywords :
data structures; mesh generation; parallel databases; HIO; adaptive mesh refinement; data management; data objects; high performance I/O management; high-level data structures; large-scale multiphysics simulations; multidimensional arrays; parallel I/O management; Arrays; Computers; Libraries; Numerical simulation; Program processors; Writing;
