Go to file
Kenneth Moreland 7255506620 Merge branch 'cmp0058-policy' into 'master'
Honor CMake policy CMP0058

CMake policy CMP0058, introduced in CMake 3.3, requires that all
intermediate files created during the build process will be declared as
an output or byproduct of a target. See "cmake --help-policy CMP0058"
for details.

Per this policy, CMake was giving a warning about some files generated
during configuration (e.g. with configure_file) because they were files
in the build directory with no apparent target command. This is not an
issue since the configure will ensure that the file is always there
before the build starts. Thus, we declare that we will adhere to the new
policy to avoid the warning.

See merge request !528
2016-08-29 16:28:24 -04:00
CMake Merge topic 'remove_CheckCXX11Features' 2016-08-26 15:49:37 -04:00
docs Add support to VTK-m to build with C++11 2016-08-03 15:38:38 -04:00
examples Fix config issues with headers and libraries 2016-08-23 14:07:38 -06:00
vtkm Make glfw auto-terminate during testing 2016-08-26 08:28:35 -06:00
CMakeLists.txt Honor CMake policy CMP0058 2016-08-29 13:42:55 -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

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 cores 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