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Kenneth Moreland 4ae3a20dfc Add test to check that all source files are part of the build system 
The test is a simple CMake script that finds all files in the build
directory with certain extensions (.h, .cxx, etc.) and makes sure that
the filename is listed somewhere in the CMakeLists.txt file of the same
directory. If the filename is listed in the CMakeLists.txt file, then
there is a good chance it is being addressed by the build.

This should help catch when header files are not being installed. It also
should help verify that test builds are being done on all files. It will
also highlight dead source files.
2016-06-02 10:23:37 -06:00
CMake Add test to check that all source files are part of the build system 2016-06-02 10:23:37 -06:00
docs The Copyright statement now has all the periods in the correct location. 2015-05-21 10:30:11 -04:00
examples unifying 2d and 3d scenes 2016-06-01 13:51:37 -04:00
vtkm Add test to check that all source files are part of the build system 2016-06-02 10:23:37 -06:00
CMakeLists.txt Add test to check that all source files are part of the build system 2016-06-02 10:23:37 -06:00
CONTRIBUTING.md Add a contributing guide to vtk-m. 2015-07-29 17:33:30 -04:00
CTestConfig.cmake Switch over to uploading by https as that is required by cdash. 2016-02-23 14:03:52 -05:00
CTestCustom.cmake.in Lossen the CTestCustom regexes 2016-03-18 13:46:31 -04:00
LICENSE.txt Fix compile time errors 2015-08-21 11:17:10 -07:00
README.md Update ReadMe to reference gitlab. 2015-05-13 08:45:52 -04:00

README.md

VTK-m

One of the biggest recent changes in high-performance computing is the increasing use of accelerators. Accelerators contain processing cores that independently are inferior to a core in a typical CPU, but these cores are replicated and grouped such that their aggregate execution provides a very high computation rate at a much lower power. Current and future CPU processors also require much more explicit parallelism. Each successive version of the hardware packs more cores into each processor, and technologies like hyperthreading and vector operations require even more parallel processing to leverage each core’s full potential.

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.

Getting VTK-m

The VTK-m repository is located at https://gitlab.kitware.com/vtk/vtk-m

VTK-m dependencies are:

git clone https://gitlab.kitware.com/vtk/vtk-m.git vtkm
mkdir vtkm-build
cd vtkm-build
cmake-gui ../vtkm

A detailed walk-through of installing and building VTK-m can be found on our Contributing page