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Bruno Donassolo authored
Presents how to do a proper SMPI calibration using SimGrid. Extract models for communications from real measures of dahu cluster. The models are created automatically using pycewise and ckmeans/dhist. Implemented support for dynamic cost in SMPI operations. Main chainges: * New tutorial: includes a dockerfile and jupyter notebook explaining how to do the SMPI calibration * SMPI dynamic costs: added API to allow user to add a callback to set dynamic costs for MPI_Send, MPI_Isend and MPI_Recv operations. - ortogonal with other costs configs, e.g. smpi/os, smpi/or. * New example: examples/smpi/comm_dynamic_costs