Difference between revisions of "Building VTK-m"
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== Dependencies == | == Dependencies == | ||
− | * CMake: VTK-m uses CMake to configure the build. You will need | + | * C++11 compiler: VTK-m uses numerous C++11 features we recommend: |
+ | ** GCC 4.8+ | ||
+ | ** Clang 3.3+ | ||
+ | ** XCode 5.0+ | ||
+ | ** MSVC 2013+ | ||
+ | |||
+ | * CMake: VTK-m uses CMake to configure the build. You will need CMake 3.3 or newer. | ||
== Supported Operating Systems and Compilers == | == Supported Operating Systems and Compilers == |
Revision as of 16:32, 22 May 2017
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.
Contents
Getting VTK-m
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.
Dependencies
- C++11 compiler: VTK-m uses numerous C++11 features we recommend:
- GCC 4.8+
- Clang 3.3+
- XCode 5.0+
- MSVC 2013+
- CMake: VTK-m uses CMake to configure the build. You will need CMake 3.3 or newer.
Supported Operating Systems and Compilers
VTK-m is supported on Windows, Mac OSX, and Linux and should work on other varieties of Unix. It is possible to compile VTK-m with many different compiler versions including GNU, CLANG, MSVC, Intel, and PGI.
Building VTK-m with CMake
Although VTK-m is header only, the code needs to be configured for the local system. VTK-m also has a large testing framework that will ensure it is working correctly on your system.
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
Variable | Description |
---|---|
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
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
Examples:
standalone:
cmake ../vtk-m
Or with cuda:
cmake -DVTKm_ENABLE_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=/path/cuda70 ../vtk-m