8834458238
The SamplerRect worklet had an error where it was possible that the invSpacing stack-local values could be used uninitialized. On the first iteration of the loop in the SamplerRect operation, it calls LocateCell, which is supposed to set invSpacing. Under most conditions it does, but if one of the ray directions is 0 (which can happen with axis-aligned views), one of the invSpacing dimensions was skipped, leaving the value to whatever garbage happened to be on the stack. Later, the invSpacing value was used to interpolate a scalar, which under some circumstances could cause an array index error when looking up a color in the color map. This fix changes the condition for when the ray direction is 0 to still initialize invSpacing. |
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| CMake | ||
| docs | ||
| examples | ||
| vtkm | ||
| CMakeLists.txt | ||
| CONTRIBUTING.md | ||
| CTestConfig.cmake | ||
| CTestCustom.cmake.in | ||
| LICENSE.txt | ||
| 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:
- CMake 3.0
- Boost 1.52.0 or greater
- Cuda Toolkit 6+ or Thrust 1.7+
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