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mrava87 committed Oct 6, 2024
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Expand Up @@ -168,5 +168,8 @@ discussed. More specifically:
value chain to create datasets deprived of overburden effects[@Ravasi:2022]. PyLops-MPI addresses this large-scale inverse problem by
splitting the kernel of the so-called Multi-Dimensional Deconvolution (MDC) operator across ranks, such that each process can perform a portion of the
batched matrix-vector (or matrix-matrix) multiplication required by such an operator. Here, both the model and data are available on all ranks for the entire inverse process.


Finally, we anticipate that similar patterns can be found in many other inverse problems in different disciplines and therefore we foresee a wide adoption of
the PyLops-MPI frameworks in other scientific fields.

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