Olivier Parcollet 2cca9584b9 mpi: first draft for #12 ... - 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.		2013-09-13 09:20:21 +02:00
..
pytriqs	Change tail implementation with fixed array size	2013-09-12 15:21:56 +02:00
speed	Fix matrix * alias issue and adapt det_manip	2013-09-11 18:49:22 +02:00
triqs	mpi: first draft for #12	2013-09-13 09:20:21 +02:00
CMakeLists.txt	First commit : triqs libs version 1.0 alpha1	2013-07-17 19:24:07 +02:00