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Kenneth Moreland ee73ab96a8 Fix warning about initialization out of order in RenderSurface.h 
C++ standard states that all class member variables are initialized in
the order they are declared in the class. Thus, it is considered good
C++ style to have their initialization listing in the constructor to
match the actual order they are initialized. The compiler could give a
warning otherwise.

While I am at it, rename the member variables to be more aligned with
VTK-m coding style (i.e. start with capital letter and be descriptive).
2016-05-19 16:59:39 -06:00
CMake Merge topic 'resolve_dejagore_maxwell_issues' 2016-05-12 16:33:06 -04:00
docs The Copyright statement now has all the periods in the correct location. 2015-05-21 10:30:11 -04:00
examples remove unused file. 2016-05-18 10:48:07 -04:00
vtkm Fix warning about initialization out of order in RenderSurface.h 2016-05-19 16:59:39 -06:00
CMakeLists.txt Move mesa package to right place. 2016-03-28 08:51:36 -04:00
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