ddm.nonblocking_data_exchanger#
Classes#
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Type that takes care of updating the ghost regions (padding) of a multi-dimensional array distributed according to the given Cartesian decomposition of a tensor-product grid of coefficients. |
Details#
- class NonBlockingCartDataExchanger(cart, dtype, *, coeff_shape=(), assembly=False, axis=None, shape=None)[source]#
Bases:
CartDataExchanger
Type that takes care of updating the ghost regions (padding) of a multi-dimensional array distributed according to the given Cartesian decomposition of a tensor-product grid of coefficients.
Each coefficient in the decomposed grid may have multiple components, contiguous in memory.
- Parameters:
- cartpsydac.ddm.CartDecomposition
Object that contains all information about the Cartesian decomposition of a tensor-product grid of coefficients.
- dtype[type | str | numpy.dtype | mpi4py.MPI.Datatype]
Datatype of single coefficient (if scalar) or of each of its components (if vector).
- coeff_shape[tuple(int) | list(int)]
Shape of a single coefficient, if this is multi-dimensional (optional: by default, we assume scalar coefficients).
- start_update_ghost_regions(array, requests)[source]#
Update ghost regions in a numpy array with dimensions compatible with CartDecomposition (and coeff_shape) provided at initialization.
- Parameters:
- arraynumpy.ndarray
Multidimensional array corresponding to local subdomain in decomposed tensor grid, including padding.
- requeststuple|None
The requests of the communications.
- start_exchange_assembly_data(array)[source]#
Update ghost regions after the assembly algorithm in a numpy array with dimensions compatible with CartDecomposition (and coeff_shape) provided at initialization.
- Parameters:
- arraynumpy.ndarray
Multidimensional array corresponding to local subdomain in decomposed tensor grid, including padding.