VTK-m is an open source C++ header toolkit that provides the ability to do fine-grained concurrency on scientific visualization data structures. VTK-m has few required dependencies but supports several optional components.
You can download the latest source from our VTK-m Releases page.
For access to the most recent work, VTK-m is available from a kitware gitlab instance, which has public anonymous read access. The git repository can be found on the project web page(https://gitlab.kitware.com/vtk/vtk-m).
If you haven't used git before, consider following github's excellent setup guide. To get a copy of the repository, issue a git clone command.
git clone https://gitlab.kitware.com/vtk/vtk-m.git
The repository supports read access with the https, and ssh protocols.If you want to contribute to VTK-m please read the Contributing to VTK-m page.
VTK-m is supported on Windows, Mac OSX, and Linux and should work on other varieties of Unix. I
- C++11 compiler: VTK-m uses numerous C++11 features we recommend:
- GCC 4.8+
- Clang 3.3+
- XCode 5.0+
- MSVC 2015+
- CMake: VTK-m uses CMake to configure the build. You will need CMake 3.3 or newer.
Building VTK-m with CMake
Always configure VTK-m so that the build tree is not the same as the source directory. The project will not run in if the source and build directories are the same.
The basic steps to setting up VTK-m are as follows:
git clone https://gitlab.kitware.com/vtk/vtk-m.git mkdir vtkm-build cd vtkm-build cmake-gui ../vtk-m make make test
(Note that parallel makes are supported, so you can run something like make -j4 to take advantage of multiple cores during the build.)
VTK-m CMake Settings
The VTK-m CMake configuration supports several options. Here are some options specific to VTK-m
|VTKm_ENABLE_BENCHMARKS||Turn on additional timing tests.|
|VTKm_ENABLE_CUDA||Enable CUDA backend. Requires CUDA Toolkit and Thrust.|
|VTKm_ENABLE_TBB||Enable Intel Threading Building Blocks backend. Requires the TBB library.|
|VTKm_ENABLE_TESTING||Turn on header, unit, and benchmark tests.|
|VTKm_USE_64BIT_IDS||Enable 64 bit index support. This is the size of integers used to index arrays, points, cells, etc.|
|VTKm_USE_DOUBLE_PRECISION||Precision to use in floating point numbers when no other precision can be inferred. Use 64 bit precision when on, 32 bit precision when off.|
Documentation is currently a work in progress. You can get download latest version of the VTK-m Users' Guide (Work in progress).
Manual CMake Settings
Or with cuda:
cmake -DVTKm_ENABLE_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=/path/cuda70 ../vtk-m