Shuenhoy/vtk-m2
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Kenneth Moreland 05fe2a0619 Allow sources to be declared in parent directory 
A recent change to the rendering library has a source code in the
internal subdirectory references from the rendering directory. This
makes sense as we want all the components (whether externally visible or
not) to be in the same library. However this broke the SourceInBuild
tests as the source code was technically not referenced from the
CMakeLists.txt in the same directory.

Anticipating that this could be a common occurance, I modified the test
to also check the CMakeLists.txt in the parent directory.
2016-09-07 16:47:54 -06:00
CMake Allow sources to be declared in parent directory 2016-09-07 16:47:54 -06:00
docs Add support to VTK-m to build with C++11 2016-08-03 15:38:38 -04:00
examples Move Mappers to rendering library 2016-09-07 16:47:52 -06:00
vtkm Move Mappers to rendering library 2016-09-07 16:47:52 -06:00
CMakeLists.txt Create configuration for rendering library 2016-09-07 16:47:35 -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