Sometimes the CUDA runtime would not allocate sufficient stack
space for the particle advection code to run. This issue was exposed by
!1737 -- for some reason, once those changes to unrelated filters/worklets
are added to VTK, CUDA allocates less stack and the following tests would
fail:
UnitTestLagrangianFilterCUDA
UnitTestLagrangianStructuresFilterCUDA
UnitTestStreamlineFilterCUDA
UnitTestStreamSurfaceFilterCUDA
These were fixed by increasing the stack size in the particle advection
worklet Run(...) methods.
An RAII helper has been added that will restore the previous stack size
in case an exception is thrown, and the KDTree code has been updated
to use this helper when it adjusts the CUDA stack allocation.
VTK-m has been updated to replace old per device worklet testing executables with a device
dependent shared library so that it's able to accept a device adapter
at runtime.
Meanwhile, it updates the testing infrastructure APIs. vtkm::cont::testing::Run
function would call ForceDevice when needed and if users need the device
adapter info at runtime, RunOnDevice function would pass the adapter into the functor.
Optional Parser is bumped from 1.3 to 1.7.
Rather than force all dispatchers to be templated on a device adapter,
instead use a TryExecute internally within the invoke to select a device
adapter.
Because this removes the need to declare a device when invoking a
worklet, this commit also removes the need to declare a device in
several other areas of the code.
There are still some warnings left:
* Some text in markdown files are incorrectly picked up as
doxygen commands
* ArrayPortalTransform weirdly inherits from a specialized
version of itself. It's technically correct C++ code, but
gives doxygen fits.
Sandia National Laboratories recently changed management from the
Sandia Corporation to the National Technology & Engineering Solutions
of Sandia, LLC (NTESS). The copyright statements need to be updated
accordingly.
