vtk-m/README.md

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# VTK-m #
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VTK-m is a toolkit of scientific visualization algorithms for emerging
processor architectures. VTK-m supports the fine-grained concurrency for
data analysis and visualization algorithms required to drive extreme scale
computing by providing abstract models for data and execution that can be
applied to a variety of algorithms across many different processor
architectures.
You can find out more about the design of VTK-m on the [VTK-m Wiki].
## Learning Resources ##
+ A high-level overview is given in the IEEE Vis talk "[VTK-m:
Accelerating the Visualization Toolkit for Massively Threaded
Architectures][VTK-m Overview]."
+ The [VTK-m Users Guide] provides extensive documentation. It is broken
into multiple parts for learning and references at multiple different
levels.
+ "Part 1: Getting Started" provides the introductory instruction for
building VTK-m and using its high-level features.
+ "Part 2: Using VTK-m" covers the core fundamental components of
VTK-m including data model, worklets, and filters.
+ "Part 3: Developing with VTK-m" covers how to develop new worklets
and filters.
+ "Part 4: Advanced Development" covers topics such as new worklet
types and custom device adapters.
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+ A practical [VTK-m Tutorial] based in what users want to accomplish with
VTK-m:
+ Building VTK-m and using existing VTK-m data structures and filters.
+ Algorithm development with VTK-m.
+ Writing new VTK-m filters.
+ Community discussion takes place on the [VTK-m users email list].
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+ Doxygen-generated reference documentation is available for both:
+ Last Nightly build [VTK-m Doxygen nightly]
+ Last release [VTK-m Doxygen latest]
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## Contributing ##
There are many ways to contribute to [VTK-m], with varying levels of
effort.
+ Ask a question on the [VTK-m users email list].
+ Submit new or add to discussions of a feature requests or bugs on the
[VTK-m Issue Tracker].
+ Submit a Pull Request to improve [VTK-m]
+ See [CONTRIBUTING.md] for detailed instructions on how to create a
Pull Request.
+ See the [VTK-m Coding Conventions] that must be followed for
contributed code.
+ Submit an Issue or Pull Request for the [VTK-m Users Guide]
## Dependencies ##
VTK-m Requires:
+ C++14 Compiler. VTK-m has been confirmed to work with the following
+ GCC 5.4+
+ Clang 5.0+
+ XCode 5.0+
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+ MSVC 2015+
+ Intel 17.0.4+
+ [CMake](http://www.cmake.org/download/)
+ CMake 3.12+
+ CMake 3.13+ (for CUDA support)
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Optional dependencies are:
+ Kokkos Device Adapter
+ [Kokkos](https://kokkos.github.io/) 3.7+
+ CXX env variable or CMAKE_CXX_COMPILER should be set to
hipcc when using Kokkos device adapter with HIP (ROCM>=6).
+ CUDA Device Adapter
+ [Cuda Toolkit 9.2, >= 10.2](https://developer.nvidia.com/cuda-toolkit)
+ Note CUDA >= 10.2 is required on Windows
+ TBB Device Adapter
+ [TBB](https://www.threadingbuildingblocks.org/)
+ OpenMP Device Adapter
+ Requires a compiler that supports OpenMP >= 4.0.
+ OpenGL Rendering
+ The rendering module contains multiple rendering implementations
including standalone rendering code. The rendering module also
includes (optionally built) OpenGL rendering classes.
+ The OpenGL rendering classes require that you have a extension
binding library and one rendering library. A windowing library is
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not needed except for some optional tests.
+ Extension Binding
+ [GLEW](http://glew.sourceforge.net/)
+ On Screen Rendering
+ OpenGL Driver
+ Mesa Driver
+ On Screen Rendering Tests
+ [GLFW](http://www.glfw.org/)
+ [GLUT](http://freeglut.sourceforge.net/)
+ Headless Rendering
+ [OS Mesa](https://www.mesa3d.org/osmesa.html)
+ EGL Driver
VTK-m has been tested on the following configurations:c
+ On Linux
+ GCC 5.4.0, 5.4, 6.5, 7.4, 8.2, 9.2; Clang 5, 8; Intel 17.0.4; 19.0.0
+ CMake 3.12, 3.13, 3.16, 3.17
+ CUDA 9.2, 10.2, 11.0, 11.1
+ TBB 4.4 U2, 2017 U7
+ On Windows
+ Visual Studio 2015, 2017
+ CMake 3.12, 3.17
+ CUDA 10.2
+ TBB 2017 U3, 2018 U2
+ On MacOS
+ AppleClang 9.1
+ CMake 3.12
+ TBB 2018
## Building ##
VTK-m supports all majors platforms (Windows, Linux, OSX), and uses CMake
to generate all the build rules for the project. The VTK-m source code is
available from the [VTK-m download page] or by directly cloning the [VTK-m
git repository].
The basic procedure for building VTK-m is to unpack the source, create a
build directory, run CMake in that build directory (pointing to the source)
and then build. Here are some example *nix commands for the process
(individual commands may vary).
```sh
$ tar xvzf ~/Downloads/vtk-m-v2.0.0.tar.gz
$ mkdir vtkm-build
$ cd vtkm-build
$ cmake-gui ../vtk-m-v2.0.0
$ cmake --build -j . # Runs make (or other build program)
```
A more detailed description of building VTK-m is available in the [VTK-m
Users Guide].
## Example ##
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The VTK-m source distribution includes a number of examples. The goal of the
VTK-m examples is to illustrate specific VTK-m concepts in a consistent and
simple format. However, these examples only cover a small portion of the
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capabilities of VTK-m.
Below is a simple example of using VTK-m to create a simple data set and use VTK-m's rendering
engine to render an image and write that image to a file. It then computes an isosurface on the
input data set and renders this output data set in a separate image file:
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```cpp
#include <vtkm/cont/Initialize.h>
#include <vtkm/source/Tangle.h>
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#include <vtkm/rendering/Actor.h>
#include <vtkm/rendering/CanvasRayTracer.h>
#include <vtkm/rendering/MapperRayTracer.h>
#include <vtkm/rendering/MapperVolume.h>
#include <vtkm/rendering/MapperWireframer.h>
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#include <vtkm/rendering/Scene.h>
#include <vtkm/rendering/View3D.h>
#include <vtkm/filter/contour/Contour.h>
using vtkm::rendering::CanvasRayTracer;
using vtkm::rendering::MapperRayTracer;
using vtkm::rendering::MapperVolume;
using vtkm::rendering::MapperWireframer;
int main(int argc, char* argv[])
{
vtkm::cont::Initialize(argc, argv, vtkm::cont::InitializeOptions::Strict);
auto tangle = vtkm::source::Tangle(vtkm::Id3{ 50, 50, 50 });
vtkm::cont::DataSet tangleData = tangle.Execute();
std::string fieldName = "tangle";
// Set up a camera for rendering the input data
vtkm::rendering::Camera camera;
camera.SetLookAt(vtkm::Vec3f_32(0.5, 0.5, 0.5));
camera.SetViewUp(vtkm::make_Vec(0.f, 1.f, 0.f));
camera.SetClippingRange(1.f, 10.f);
camera.SetFieldOfView(60.f);
camera.SetPosition(vtkm::Vec3f_32(1.5, 1.5, 1.5));
vtkm::cont::ColorTable colorTable("inferno");
// Background color:
vtkm::rendering::Color bg(0.2f, 0.2f, 0.2f, 1.0f);
vtkm::rendering::Actor actor(tangleData.GetCellSet(),
tangleData.GetCoordinateSystem(),
tangleData.GetField(fieldName),
colorTable);
vtkm::rendering::Scene scene;
scene.AddActor(actor);
// 2048x2048 pixels in the canvas:
CanvasRayTracer canvas(2048, 2048);
// Create a view and use it to render the input data using OS Mesa
vtkm::rendering::View3D view(scene, MapperVolume(), canvas, camera, bg);
view.Paint();
view.SaveAs("volume.png");
// Compute an isosurface:
vtkm::filter::contour::Contour filter;
// [min, max] of the tangle field is [-0.887, 24.46]:
filter.SetIsoValue(3.0);
filter.SetActiveField(fieldName);
vtkm::cont::DataSet isoData = filter.Execute(tangleData);
// Render a separate image with the output isosurface
vtkm::rendering::Actor isoActor(
isoData.GetCellSet(), isoData.GetCoordinateSystem(), isoData.GetField(fieldName), colorTable);
// By default, the actor will automatically scale the scalar range of the color table to match
// that of the data. However, we are coloring by the scalar that we just extracted a contour
// from, so we want the scalar range to match that of the previous image.
isoActor.SetScalarRange(actor.GetScalarRange());
vtkm::rendering::Scene isoScene;
isoScene.AddActor(isoActor);
// Wireframe surface:
vtkm::rendering::View3D isoView(isoScene, MapperWireframer(), canvas, camera, bg);
isoView.Paint();
isoView.SaveAs("isosurface_wireframer.png");
// Smooth surface:
vtkm::rendering::View3D solidView(isoScene, MapperRayTracer(), canvas, camera, bg);
solidView.Paint();
solidView.SaveAs("isosurface_raytracer.png");
return 0;
}
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```
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A minimal CMakeLists.txt such as the following one can be used to build this
example.
```CMake
cmake_minimum_required(VERSION 3.12...3.15 FATAL_ERROR)
project(VTKmDemo CXX)
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#Find the VTK-m package
find_package(VTKm REQUIRED QUIET)
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if(TARGET vtkm::rendering)
add_executable(Demo Demo.cxx)
target_link_libraries(Demo PRIVATE vtkm::filter vtkm::rendering vtkm::source)
endif()
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```
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## License ##
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VTK-m is distributed under the OSI-approved BSD 3-clause License.
See [LICENSE.txt](LICENSE.txt) for details.
[VTK-m]: https://gitlab.kitware.com/vtk/vtk-m/
[VTK-m Coding Conventions]: docs/CodingConventions.md
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[VTK-m Doxygen latest]: https://docs-m.vtk.org/latest/index.html
[VTK-m Doxygen nightly]: https://docs-m.vtk.org/nightly/
[VTK-m download page]: https://gitlab.kitware.com/vtk/vtk-m/-/releases
[VTK-m git repository]: https://gitlab.kitware.com/vtk/vtk-m/
[VTK-m Issue Tracker]: https://gitlab.kitware.com/vtk/vtk-m/-/issues
[VTK-m Overview]: http://m.vtk.org/images/2/29/VTKmVis2016.pptx
[VTK-m Users Guide]: https://gitlab.kitware.com/vtk/vtk-m-user-guide/-/wikis/home
[VTK-m users email list]: http://vtk.org/mailman/listinfo/vtkm
[VTK-m Wiki]: http://m.vtk.org/
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[VTK-m Tutorial]: http://m.vtk.org/index.php/Tutorial
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[CONTRIBUTING.md]: CONTRIBUTING.md