vtk-m/vtkm/worklet/internal
Kenneth Moreland 9409a54191 Make new tetrahedralize functors work on CUDA
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).
2015-11-07 10:09:19 -07:00
..
testing Enable output to input map in fetch mechanism. 2015-11-06 18:05:20 -07:00
ClipTables.h CellSetExplicit uses UInt8 for shape, and IdComponent for numIndices. 2015-09-23 11:17:04 -04:00
CMakeLists.txt Make new tetrahedralize functors work on CUDA 2015-11-07 10:09:19 -07:00
DispatcherBase.h Adding ScatterCounting 2015-11-06 18:05:20 -07:00
DispatcherBaseDetailInvoke.h Fix pyexpander errors 2015-09-02 13:47:33 -07:00
DispatcherBaseDetailInvoke.h.in The Copyright statement now has all the periods in the correct location. 2015-05-21 10:30:11 -04:00
TriangulateTables.h Make new tetrahedralize functors work on CUDA 2015-11-07 10:09:19 -07:00
WorkletBase.h Change tetrahedralize filters to use new Scatter mechanism 2015-11-07 04:57:16 -07:00