There is a limitation in Windows builds using VS2019 where libraries cannot be
bigger than 4GiB. This is normally not an issue but in `VTKm` due to its strong
template usage libraries can reach that size.
The `VTKm` filter library is can easily reach that size and it will halt the
build
This MR tries to avoid reaching those sizes for now by splitting the filter
library into four smaller libraries.
The proposal scheme is:
It splits vtkm-filter into:
- vtkm-common, Classes that are dependencies of other filter libs.
- vtkm-contour, Contour class and its instantiations.
- vtkm-contour, Gradient class and its instantiations.
- vtkm-extra, Classes other than Contour or Gradient that are
not dependencies.
Signed-off-by: Vicente Adolfo Bolea Sanchez <vicente.bolea@kitware.com>
ed41874cc Consolidate tests for base vtkm code that is device-specific
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !2219
d13a08b6a Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m into mpiStreamlines2
530c4504d Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m into mpiStreamlines2
6bfb91aac try to fix/debug the windows builds.
8b1520fdb address link errors in windows and gcc4.8 dashboard compile errors
5fa93a64f fix build errors
ec796445c Remove some print statements.
9bf49101c Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m into mpiStreamlines2
4722dc67b Code review cleanup.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !2210
Some of the code in the base `vtkm` namespace is device specific. For
example, the functions in `Math.h` are customized for specific devices.
Thus, we want this code to be specially compiled and run on these
devices.
Previously, we made a header file and then added separate tests to each
device package. That was created before we had ways of running on any
device. Now, it is much easier to compile the test a single time for all
devices and use the `ALL_BACKENDS` feature of `vtkm_unit_tests` CMake
function to automatically create the test for all devices.
4e72eb043 Don't apply pyexpander fix on Windows.
959db40aa Find expander.py on the syspath, do not call it from a Python interpreter.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !2214
8983154e9 Add DeepCopy to ArrayHandle
694ba7e92 Change ArrayCopy to deep copy Buffer objects where possible
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !2212
2d1b609b3 Use Ubuntu instead of rhel8 for cuda+kokkos
769248583 Make sure we use c++14 when using CUDA 11+
64efa6401 Kokkos: make sure we don't pass multiple rdc flags
b2f4c8e5e Switch -O3 to -O2 on Linux with Cuda 10
db57ed26a Fix warnings
452f61e29 Add Kokkos backend
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !2164
`ArrayHandle::DeepCopy` creates a new `ArrayHandle` of the same type and
deep copies the data into it.
This functionality is similar to `ArrayCopy`. However, it can be used
without having to compile for the device on which the copy happens.
Now that the data in an `ArrayHandle` is stored in `Buffer` objects, we
now have a more efficient way of doing deep copies of memory. Rather
than call `Algorithm::Copy`, which iterates over the array and copies
each item, `ArrayCopy` now uses the `Buffer` interface to do direct
device-to-device (or host-to-host) mem copies. This should be more
efficent and take less time to compile.
Note that this direct `Buffer` copy only works if the two `ArrayHandle`s
are of the same type. If they are different, `ArrayCopy` still has to
fall back to using `Algorithm::Copy`.
Also note that not all `ArrayHandle`s are using the new `ArrayHandle`
interface (and therefore not using `Buffer` objects). Thus, a fallback
is still available for old `ArrayHandle` types.
801d62527 Exclude a failing test until it is resolved
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !2208
The `ContourTreeUniformAugmented` tests for Cuda consistently
times out while running on the `centos7_gcc48` and `rhel8_test_centos7`
configurations. Temporarily exclude it to improve the CI turn-around time
while this issue is being resolved.
This has no real change in the operation, but it will simplify code as
we convert `ArrayHandle`s to the new type. We will be able to write
simple runtime code rather than complex metaprogramming to determine the
number of buffers to use.
d3a6def08 Update filters that use FieldCell to use FieldFilter instead
9d91e006a Deprecate FilterCell
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !2205
