A large portion of the VTK-m filters are now compiled into the
vtkm_filter library. These pre-built filters now don't include
the respective hxx file to remove the amount of template
instantiation users do.
To verify that this removal reduces compiler memory ( and maybe time)
I profiled the compiler while it building filter tests in debug mode.
Here is a selection of results:
```
CleanGrid 10.25s => 9.01s, 901MB => 795MB
ExternalFaces 13.40s => 5.96s, 1122MB => 744MB
ExtractStructured 4.69s => 4.75s, 492MB => 492MB
GradientExplicit 22.97s => 5.88s, 1296MB => 740MB
```
There is a limitation in Windows builds using VS2019 where libraries cannot be
bigger than 4GiB. This is normally not an issue but in `VTKm` due to its strong
template usage libraries can reach that size.
The `VTKm` filter library is can easily reach that size and it will halt the
build
This MR tries to avoid reaching those sizes for now by splitting the filter
library into four smaller libraries.
The proposal scheme is:
It splits vtkm-filter into:
- vtkm-common, Classes that are dependencies of other filter libs.
- vtkm-contour, Contour class and its instantiations.
- vtkm-contour, Gradient class and its instantiations.
- vtkm-extra, Classes other than Contour or Gradient that are
not dependencies.
Signed-off-by: Vicente Adolfo Bolea Sanchez <vicente.bolea@kitware.com>
VTK-m now provides the following filters with the default policy
as part of the vtkm_filter library:
- CellAverage
- CleanGrid
- ClipWithField
- ClipWithImplicitFunction
- Contour
- ExternalFaces
- ExtractStructured
- PointAverage
- Threshold
- VectorMagnitude
By building these as a library we hope to provide faster compile
times for consumers of VTK-m when using common configurations.
Now that the dispatcher does its own TryExecute, filters do not need to
do that. This change requires all worklets called by filters to be able
to execute without knowing the device a priori.
This commit removes `vtkm::filter::Result`. All methods that used
`vtkm::filter::Result` simply change to use `vtkm::cont::Dataset` instead.
The utility API on `Result` that was used to add fields to the resulting
dataset is now available via `vtkm::filter::internal::CreateResult`.
Sandia National Laboratories recently changed management from the
Sandia Corporation to the National Technology & Engineering Solutions
of Sandia, LLC (NTESS). The copyright statements need to be updated
accordingly.
