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https://github.com/triqs/dft_tools
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2cca9584b9
- a thin layer, using a bit boost::mpi (for the communicator mostly ...) along the lines discussed in #12. - implemented reduce, allreduce, bcast for arrays, simple scalars, and any custom type that support boost serialization. - Custom types : the operations are done recursively on members. No change is needed in the class to use this mpi routine, as long as serialize function is defined. - For arrays of basic types (int, double...), a direct call to MPI C API, which works also for views (as long as they are contiguous). - For arrays of more complex types, we revert to boost::mpi. - Added a simple test. - Work still in progress : - missing a simple scatter/gather for the arrays - need more tests & API thinking. - dispatch array code to array lib - reduce is "sum" only, but do we need more. |
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| .. | ||
| arrays | ||
| clef | ||
| det_manip | ||
| gfs | ||
| h5 | ||
| lattice | ||
| mc_tools | ||
| parameters | ||
| python_tools | ||
| utility | ||
| arrays.hpp | ||
| clef.hpp | ||
| CMakeLists.txt | ||
| gfs.hpp | ||
| h5.hpp | ||
| parameters.hpp | ||
| version.hpp.in | ||