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.
Now that the dispatcher does its own TryExecute, filters do not need to
do that. This change requires all worklets called by filters to be able
to execute without knowing the device a priori.
Found via `codespell` and `grep`
more typos
includes source typo change and a typo that needs further review
follow-up typos
Follow-up typos
Revert a commit
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.
VTK expects that the tensor fields generated by the gradient of a vector field
to have FORTRAN ordering instead of C ordering.
Discovering this actually uncovered bugs in the Vorticity and QCriterion
implementation where they presumed FORTRAN ordering, and would generate
incorrect results.
Basically we can run the gradient worklet and compute the Divergence, Vorticity,
and QCriterion without ever having to store the gradient tensor in global memory
The gradient worklet is now templated on the input value type. This simplifies
the logic of the gradient. Secondly we have added a Run method for the
first step of making gradient a 'fatter' worklet that can handle generation
of vorticity, Divergence, and QCriterion.
