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Designing a scientific software stack to meet the needs of thenext-generation of mesh-based simulation demands, not only scalable andefficient mesh and data management on a wide range of platforms, but also anabstraction layer that makes it useful for a wide range of application codes.Common utility tasks, such as file I/O, mesh distribution, and workpartitioning, should be delegated to external libraries in order to promotecode re-use, extensibility and software interoperability. In this paper wedemonstrate the use of PETSc's DMPlex data management API to perform mesh inputand domain partitioning in Fluidity, a large scale CFD application. Wedemonstrate that raising the level of abstraction adds new functionality to theapplication code, such as support for additional mesh file formats and mesh re-ordering, while improving simulation startup cost through more efficient meshdistribution. Moreover, the separation of concerns accomplished through thisinterface shifts critical performance and interoperability issues, such asscalable I/O and file format support, to a widely used and supported opensource community library, improving the sustainability, performance, andfunctionality of Fluidity.

Flexible, Scalable Mesh and Data Management using PETSc DMPlex