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  • MPI: MOAB supports both MPICH and OpenMPI based libraries configured externally to enable scalable mesh manipulation algorithms.

  • HDF5: To manage the data dependencies and to natively support parallel I/O, MOAB uses a native HDF5-based file format to represent the entire MOAB data model. If MPI is enabled, HDF5 should be built with parallel support.

  • NetCDF: MOAB library optionally depends on the NetCDF libraries (C) to compile the ExodusII reader/writer. NetCDF is also required to process NetCDF4 format nc files for E3SM. If MPI is enabled, then the underlying HDF5 dependency for NetCDF should have parallel support i.e., serial HDF5 dependency will not pass configuration checks.

  • Parallel-NetCDF: MOAB library optionally depends on the parallel-NetCDF (pnetcdf) libraries to compile the support for parallel  reader parallel reader and writer of NetCDF meshes and linear map weight files. This is a required dependency to enable parallel I/O of MPAS, SCRIP, ESMF, and Exodus meshes as well.

  • Metis/ParMetis: MOAB can optionally use the Metis or ParMetis library for partitioning mesh files in an offline form through the mbpart tool. This may be useful to pre-partition the mesh apriori in offline remapping workflows.

  • Zoltan: Support for both offline and online partitioning through Zoltan (and its dependencies on Scotch, ParMetis etc) can be utilized through the partitioner tool and at runtime with appropriate file read options (PARTITION_METHOD=RCBZOLTAN;). This dynamic rebalancing is important to achieve good scalability when reading nc files. If reading parallel h5m files, we recommend using the offline partitioning tool with mbpart with -z RCB to use the Recursive Bisection geometric partitioner implementation in Zoltan.

  • TempestRemap: Provides support for both offline and online remapping of Climate field data on unstructured spherical meshes. Required dependency for all E3SM workflows.

  • Eigen3: A substitute for BLAS/LAPACK interfaces. However, if TempestRemap tools are to be built, this becomes a required dependency as we store the SparseMatrix internally on every task using the Eigen3 data-structures.

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Currently, both CMake and Autotools are maintained simultaneously to support all platforms (including Windows). In this section, we will focus only on the autotools configuration system as this remains the most tested configuration approach for now. In the future (FY24Q3), we will be deprecating deprecate the autotools configuration system and use the CMake-based approach instead. When this happens, the instructions will be updated accordingly.

For the autotools-based configuration, we recommend a minimum autoconf version of 2.69.

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