We want the option name to be clear that it might be applicable for
more than just CUDA. If VTK-m ever supported something like SYCL
it would not be clear that those sources should go in `WRAP_FOR_CUDA`.
It is very easy to cause ODR violations with DeviceAdapterTagCuda.
If you include that header from a C++ file and a CUDA file inside
the same program we an ODR violation. The reasons is that the C++
versions will say the tag is invalid, and the CUDA will say the
tag is valid.
The solution to this is that any compilation unit that includes
DeviceAdapterTagCuda from a version of VTK-m that has CUDA enabled
must be invoked by the cuda compiler.
This is a library that contains parts of worklets that can be
precompiled into a library.
Currently, this library contains the implementation of ScatterCounting.
Previously vtkm_find_gl was only usable when rendering was enabled.
This is problematic as examples would use vtkm_find_gl even if
they didn't use vtkm rendering library.
The new and improved vtkm::cont::ColorTable provides a more feature complete
color table implementation that is modeled after
vtkDiscretizableColorTransferFunction. This class therefore supports different
color spaces ( rgb, lab, hsv, diverging ) and supports execution across all
device adapters.
Visual Studio default toolset uses 32bit executables for compiling which
means that if it uses more than 4GB of memory per instance it crashes.
By moving the ConnectivityTracer into a separate compilation unit we
can help out the compiler.
This also improved compilation times and library size:
Old:
build time (j8): 48.62 real
lib size: 6.2MB
New:
build time (j8): 41.31 real
lib size: 5.0MB
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.
This commit converts `Canvas` from an abstract class to a concrete
class by converting the pure virtual methods to empty/default
implementations. It provides an implementation for `Canvas::AddLine`
using Bresenham's line drawing algorithm.
The algorithm is parallelized using a custom Mapper and Canvas class.
It is parallelized over the expected pixels that will be colored,
blending with any previous color value. This does not use the depth buffer
and hence will naively overrwite all pixels while drawing a line segment.
2b5e8e9f Removing debug statements
0459913a Multi canvas rendering
35877cd9 Adding missing file
b1e3688b multi-canvas working for ray tracer + volume renderer
33af0fec composing ray tracer and volume renderer is successful. Still need a strategy for the background color.
8e5f309e adding support in rendering triangulator for cell set permutation
92fde35b fixing depth
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !862
The RuntimeDeviceTracker.cxx contains a library method that queries the
CUDA device, which only works if compiled as a CUDA source file.
This set up will allow code that is not compiled with CUDA use a
RuntimeDeviceTracker with other code that does use CUDA.
8a93ecc4 code alignment tweaks.
6fa448b5 Remove the 1D camera. 1D plots will use a 2D camera.
52aa9b9a Fix some compile errors.
23d8d585 Add explicit 1D rendering. Also added some data model suport.
db522c4c Add GetCanvas calls to the mapper classes.
87b1cdca cleanup. Remove some compiler warnings.
d38e6270 Support for 1D rendering.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !616
There are many rendering classes that do not rely on OpenGL. We really
want to be able to use this functionality on systems that do not have
OpenGL. That is a big part of the point.
This reverts commit c75feb74bb6add43e1be9a42a9bf4bf205b97c39.
