8520d70e0 Compile most frequently used VTK-m filters into a library
d1d61b9eb vtkm::filter::Filter passes filter policies by value
4ff021b08 Improve VTK-m compilation times by compiling more keys<T> types
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1836
3ef234ef1 Move Oscillator to the sources directory
5c69f1bae Update Wavelet to use WorkletVisitPointsWithCells
62357dea0 Tangle source has better runtime performance
eb3d86654 Add a test explicitly for vtkm::source::Tangle
63f243809 Add vtkm::source::Wavelet as a new source
257dc1f84 Sources have a more consistent API and internal style.
2d455bbef Document what the Tangle source will generate
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1850
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.
Consumers of VTK-m when enabling of dropping of unused functions
will see VTK-m functions dropped. Previously this didn't happen
as VTK-m didn't build object files with the correct flags for this.
By allowing the linker to remove unused symbols we see a significant
saving the file size of VTK-m tests, examples, and benchmarks.
An OpenMP build of the tests and benchmarks goes from 168MB to
141MB which is roughly a 16% filesize reduction.
Initially I had presumed that these changes would increase link times.
But in measurements the total wall time for compilation of VTK-m has
stayed about the same ( seeing a decrease of 1.5% ). Presumably the
increased computation is offset by the reduction in file writing.
Instead of having to be called for each target you can now
pass multiple targets at once. Do note that if you pass multiple
targets you will need to pass all the sources from those targets
that need to be 'device' compiled.
630768600 Suppress CUDA warnings
5fa02057a Rely less on overload resolution for ApplyPolicy
26d7bfd0d Force ArrayPolicy of a specific type to the right template
6c136b978 Remove vtkm::BaseComponent
07c59fcf7 Update filters with secondary fields to use new policy method
3039a18ba Add ability to get an array from a Field for a particular type
2b6e6da6c Add ability to get VariantArrayHandle as an ArrayHandleMultiplexer
6323d6803 Add recursive component queries to VecTraits
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1829
9b78276ca Updating usage statement for temporal advection example
8e27562ce Adding information about sample datasets in example
fd23bb3c7 Update attributes to include all files in data to lfs
01d735e1a Merge branch 'master' of gitlab.kitware.com:vtk/vtk-m into fix_temporal_example
d9b038fdd Updating method name in unit test
b7191e257 Fixing temporal advection example
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1814
Previously, all the ApplyPolicy functions had the same name and used
template resolution to figure out which one to use. This was pretty
clear at first when there was just one for fields and one for cell sets.
But then it grew to several different types, particularly for fields. It
was hard to look at the code and figure out which form of ApplyPolicy
was being used, and compilers were starting to get confused.
Resolve the problem by giving all the methods unique names to make it
clear which one you expect to be called.
The `MultiBlock` class has been renamed to `PartitionedDataSet`, and its API
has been refactored to refer to "partitions", rather than "blocks".
Additionally, the `AddBlocks` method has been changed to `AppendPartitions` to
more accurately reflect the operation performed. The associated
`AssignerMultiBlock` class has also been renamed to
`AssignerPartitionedDataSet`.
This change is motivated towards unifying VTK-m's data model with VTK. VTK has
started to move away from `vtkMultiBlockDataSet`, which is a hierarchical tree
of nested datasets, to `vtkPartitionedDataSet`, which is always a flat vector
of datasets used to assist geometry distribution in multi-process environments.
This simplifies traversal during processing and clarifies the intent of the
container: The component datasets are partitions for distribution, not
organizational groupings (e.g. materials).
Ref #405
By removing the ability to have multiple CellSets in a DataSet
we can simplify the following things:
- Cell Fields now don't require a CellSet name when being constructed
- Filters don't need to manage what the active cellset is
To help provide a better time writing VTK-m filter this streamlines
the CreateResult API to provide a focused set of methods, based on
how CreateResult has been used by existing filters.
