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View Code? Open in Web Editor NEWTile-Low Rank Multi-Dimensional Convolution: fast MDC modelling and inversion for seismic applications
Tile-Low Rank Multi-Dimensional Convolution: fast MDC modelling and inversion for seismic applications
Moving to the new API of tlrmvm, I tried to find a way to also include DenseMat functionalities... right now this resulted in this quick fix https://github.com/DIG-Kaust/TLR-MDC/blob/main/mdctlr/densemvm.py (see class YObj) to have the same behavior for dense and tile so that Fredholm does not need to handle the two cases separately.
This is ugly though, any better way is welcome :)
Currently the _matvec/_rmatvec
methods of Fredholm1mixed
work only if a print is added at the start (e.g.,
Currently cupy sends data to the default GPU for every MPI process.
This needs to change such that each process (or a bunch of processes) is associated to one GPU card.
Currently MDC is setup to allow using up to a certain frequency, we should also allow starting from a certain start frequency (below which we dont expect signal in the data)
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