Shuenhoy/vtk-m2
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Kenneth Moreland c9e146a2a1 Make literals for bits unsigned 
Literals that are used to represent the bits of certain floating point
numbers (e.g. VTKM_NAN_BITS_64) are placed into unsigned integers before
converted to floating points. We ran into an example where the compiler
complained that a literal (specifically VTKM_NEG_INF_BITS_64) was
declared signed and was negative but then placed in an unsigned (64-bit)
integer. This should fix the problem by making the literal itself
unsigned.
2016-12-16 08:47:18 -07:00
CMake make sure cuda test build executables have all include directories. 2016-11-30 17:12:41 -05:00
docs Remove exports for header-only functions/methods 2016-11-15 22:22:13 -07:00
examples Remove exports for header-only functions/methods 2016-11-15 22:22:13 -07:00
vtkm Make literals for bits unsigned 2016-12-16 08:47:18 -07:00
CMakeLists.txt Remove boost CMake logic as VTK-m doesn't require boost now. 2016-10-21 08:41:22 -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 Update the documentation to reflect we don't require boost. 2016-10-21 08:41:22 -04:00
README.md Update the documentation to reflect we don't require boost. 2016-10-21 08:41:22 -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 required dependencies are:

VTK-m optional 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