This warning is emitted when the compiler performs an optimization, and wants
you to verify that the presumptions it is making are valid. For this case
we can correctly promise the compiler that the values will not overflow and
the optimizations are correct.
Adding an example that demonstrates how to write a distributed filter
that customizes the execution for all blocks in a MultiBlock. This is a
reinterpretation of the `reduce/all_to_all` example provided by DIY.
d37c1fee adding mpi-only filter example.
4610e8b1 increate timeout for CopyrightStatement test.
89041e4f Compute correct histogram for distributed multiblock cases.
0af0271f Filter API enhancements.
b31af29a New constructor for AssignerMultiBlock.
dd3709c3 make MultiBlock constructors explicit.
7fbd0204 FieldHistogram: support using precomputed range
ddd14f25 mpi: avoid MPI calls when not using MPI.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Acked-by: Matt Larsen <mlarsen@cs.uoregon.edu>
Merge-request: !1138
Histogram filter now correctly computes the histogram for multiblock
input or when operating in a distributed environment. It employs
reduction to reduce local/per block results to generate the final
output.
This revamps Filter API to improve support for multiblock dataset and
distributed use-cases. Filters now operate on MultiBlock alone thus
`Filter::Execute(MultiBlock&)` is the primary method.
`Filter::Execute(DataSet*)` is only provided as an convenience that
internally puts the dataset into a MultiBlock and calls the primary
method.
Subclasses can provides PreExecute and PostExecute overrides to handle
init/reduction operations for filters with operating on multiple blocks.
Since blocks can be distributed, filters are expected to handle that as
well.
Subclasses can provide `PrepareForExecution(MultiBlock*..)` to customize
behavior for handling multiblock inputs. Default is to simply loop
over blocks.
Updated FieldHistogram worklet to support executing the worklet using a
precomputed range. This will be needed for distributed and multiblock
use-cases.
73c05c10 Suppressions of __host__ warnings shouldn't trigger internal compile errors
5100e559 Suppress warnings about calling __host__ functions from CUDA 9.0
282c515e Suppress warnings about calling __host__ functions from CUDA 8.0
5dfdc830 Cuda will also print error/warning pragma values now.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1150
3211c150 add support to run test with MPI.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1148
faf916f1 Fix condition on which to get the TBB version
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1140
`vtkm_unit_tests` now supports an MPI option that can be used to add
test that run with MPI. Adding `UnitTestFieldRangeGlobalCompute` to test
global ranges for fields.
a37a3f39 Examples that use glu functions now properly link to OpenGL::GLU
a44ad273 Make sure Rendering example doesn't conflict with rendering testing name
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Utkarsh Ayachit <utkarsh.ayachit@kitware.com>
Merge-request: !1147
c6dcbc1f Check for git version only once
f2f8796d Properly install all required cmake files needed by vtk-m
b658a72a Fix broken VTK-m PyExpander functin
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1144
The check to determine the version of VTK-m from git was duplicated in
CMakeLists.txt. Although pointless, it generally was not a big deal
(only an extra check when running CMake). Except for some reason with
the latest changes to the CMake build the second time find_package(Git)
was called on my system the GIT_EXECUTABLE variable got cleared out and
that caused the configure to fail. I have no idea why this happens (and
running CMake again seems to fix the problem), but simply removing the
extraneous find seems fix the problem.
CUDA currently doesn't support building for `compute_` and having compiled
in virtuals ( using separable compilation ). So we need to transition everything
over to `sm_`
Removing another API that need not be on MultiBlock. There's generally
no need for apps to know this. If needed, we can add `...Compute`
function. This removes another API on MultiBlock that could trigger
parallel communication/synchronization.
