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The algorithm is shown to be scalable with a large number of processors and for problems with millions of unknowns.
We also show that the newly developed algorithm scales well with more than one thousand processor cores for the problem with tens of millions of unknowns.
The parallel performance suggests that the proposed solution algorithm is scalable with over 4,000 processors cores with tens of millions of unknowns.
The algorithm is shown to be robust and scalable for a variety of physical parameters, scaling to hundreds of processors and millions of unknowns.
Due to the high cost of the multiple-tree structure, our numerical examples show that we can only solve the elastic wave scattering problems with 0.3 0.4 millions of unknowns on our Dell Precision 690 workstation using one core.
We show numerically that the proposed algorithm and implementation are highly scalable in terms of the number of linear and nonlinear iterations and the total compute time on a supercomputer with more than 10,000 processor cores for several problems with hundreds of millions of unknowns.
Similar(54)
We have a lot of unknown unknowns".
There were a lot of unknowns.
We had a cast of unknowns, basically.
However, there are a lot of unknowns.
"There are a lot of unknowns there.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com