Commit c849dd1
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New EB optimization parameter: eb2.num_coarsen_opt (AMReX-Codes#2872)
At the beginning of EB generation, we chop the entire finest domain into
boxes and find out the type of the boxes. We then collect the completely
covered boxes and cut boxes into two BoxArrays. This process can be costly
because of the number of calls to the implicit functions. In this commit,
we have introduced a new ParmParse parameter, eb2.num_coarsen_opt with a
default value of zero. If for instance it is set to 3, we start the box
type categorization at a resolution that is coarsened by a factor of 2^3.
For the provisional cut boxes, we refine them by a factor of 2, Then we chop
them into small boxes and categorize the new boxes. This process is
performed recursively until we are at the original finest resolution.
The users should be aware that, if eb2.num_coaren_opt is too big, this could
produce in erroneous results because evaluating the implicit function on
coarse boxes could miss fine structures in the EB.
Thank Robert Marskar for sharing this algorithm.1 parent 557aae8 commit c849dd1
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