4ceb111a Enable vectorization inside the Serial and TBB backends.
514ea09a Teach VTK-m how to enable vectorization for gcc, clang, and icc.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !275
6c4fb856 Add example data file for streamline.
cba0e218 Verify unit test results
3946b0c4 Add unit test, pass all args in Run()
09e43778 Merge branch 'master' of gitlab.kitware.com:Fasel/vtk-m into streamline
02f84a19 StreamLine filter outputs dataset. Add example.
34cc9719 StreamLine particle tracing returns output dataset.
e34aaa02 Merge branch 'master' of gitlab.kitware.com:Fasel/vtk-m into streamline
82d9c102 Pass input and output datasets and not arrays. Support FORWARD, BACKWARD and BOTH.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !267
8dca9f5f Fix case in reference to UseVTKmCUDA.cmake.
5a4c357c Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m
53bb34b8 Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m
5b1a6b36 Adding Clear() method to DataSet.
f5e3c3ac Add missing methods to CellSetPermutation.
cec123c6 CellSetSingleType::Fill now works with custom storage types.
8adbdefd WIP: Install missing header.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !274
Improve CMake module
Some improvements to VTKmConfig.cmake and the device configuration scripts to better support CMake projects using VTK-m.
See merge request !271
* Support a REQUIRED flag that only gives an error if that flag is given.
* Move common configuration required for all devices (such as boost) to a
special device named Base.
* Make CUDA always capitalized to be consistent with the other CMake
variables.
* Rather than call include_directories, set a variable named
VTKm_INCLUDE_DIRS. This is consistent with how most CMake packages work.
* Make a CMake variable named VTKm_LIBRARIES containing all the
libraries the configured devices need.
* Automatically configure supported devices when loading the VTK-m
package in CMake.
c6a562ae Fix for MSVC conversion warning
70b2eff8 Update clipping example to use the new io framework
503f9197 Fix VTK DataSet IO to work correctly with DynamicArrayHandle
2b771418 Update Clip worklets to work with more types
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !268
9414120b Replace ArrayHandleCastForInput with the more versatile ArrayHandleCast.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !270
Scatter in worklets
Add the functionality to perform a scatter operation from input to output in a worklet invocation. This allows you to, for example, specify a variable amount of outputs generated for each input.
See merge request !221
Add more tolerance to UnitTestParametricCoordinates
I noticed a failure in a dashboard run of UnitTestParametricCoordinates.
This test uses randomly generated numbers to test the behavior of some
cell shapes, and there was an instance that occured with seed 1447261681
that caused one of the comparisons to be just slightly larger than the
default tolerance but still within reasonable value.
I just increased the tolerance of that particular comparison. Hopefully
this will prevent all future failures.
See merge request !269
I noticed a failure in a dashboard run of UnitTestParametricCoordinates.
This test uses randomly generated numbers to test the behavior of some
cell shapes, and there was an instance that occured with seed 1447261681
that caused one of the comparisons to be just slightly larger than the
default tolerance but still within reasonable value.
I just increased the tolerance of that particular comparison. Hopefully
this will prevent all future failures.
Array transforms can now be created with an inverse functor, allowing for
casts back into the native array type. As a result, array transforms with
both a functor and inverse functor defined can perform read and write
operations. As an example, ArrayHandleCast now supports this operation. The
original implementation of ArrayHandleCast (i.e. read only) has been renamed
'ArrayHandleCastForInput'.
Previously, there was a table holding the number of vertices produced
for each MC case. However, what we really need is the number of
triangles, so we would have to divide that by 3. Instead, just store the
number of triangles.
The original workaround for inclusive_scan bugs in thrust 1.8 only solved the
issue for basic arithmetic types such as int, float, double. Now we go one
step further and fix the problem for all types.
The solution is to provide a proper implementation of destructive_accumulate_n
and make sure it exists before any includes of thrust occur.
Recent changes to algorithm implementations caused CellDerivative to be
called in a way such that it gave conversion warnings on some compilers.
Fix that.
The previous implementation was declaring static arrays in methods,
which cannot be used on a CUDA device. Instead, make static tables that
can be passed to the device with array handles (much like clip tables
do).
Fix Conversion Warnings
Fix conversion warnings when compiling with 64-bit default floats.
Also ran into an issue with multiplying a Vec by a scalar that did not match, so this branch also includes the addition of operator* overloads to multiply any Vec type by vtkm::Float64.
See merge request !265
This has been requested on the mailing list to make it easier to
interpolate integer vectors.
There are a couple of downsides to this addition. First, it implicitly
casts doubles back to whatever the vector type is, which can cause a
loss of precision. Second, it makes it more likely to get overload
errors when multiplying with Vec. In particular, the operator to cast
Vec of size 1 to the component class had to be removed.
