d80a8125c Sprinkle noexcept goodness on Variant and ArrayPortalMultiplexer
a96a13cf3 Use large case statements to CastAndCall variants
866e1d7d5 Update comparison for virtual and multiplexer arrays
5416cbeb7 Add ArrayHandleMultiplexer testing to BenchmarkFieldAlgorithms
d45106452 Add changedoc for ArrayHandleMultiplexer
0aa15c97c Fix 'Failed to specialize alias template' error from Visual Studio
7b72e31df Fixes for CUDA
5e2385352 Create ArrayHandleMultiplexer
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1726
how did any of this work?
match other CellSet file layouts.
???
compile in CUDA.
unit tests.
also only serial.
make error message accurate
Well, this compiles and works now.
Did it ever?
use CellShapeTagGeneric
UnitTest matches previous changes.
whoops
Fix linking problems.
Need the same interface
as other ThreadIndices.
add filter test
okay, let's try duplicating CellSetStructure.
okay
inching...
change to wedge in CellSetListTag
Means changing these to support it.
switch back to wedge from generic
compiles and runs
remove ExtrudedType
need vtkm_worklet
vtkm_worklet needs to be included
fix segment count for wedge specialization
need to actually save the index
for the other constructor.
specialize on Explicit
clean up warning
angled brackets not quotes.
formatting
As the RuntimeDeviceTracker is a per thread construct we now make
it explicit that you can only get a reference to the per-thread
version and can't copy it.
It is very easy to cause ODR violations with DeviceAdapterTagCuda.
If you include that header from a C++ file and a CUDA file inside
the same program we an ODR violation. The reasons is that the C++
versions will say the tag is invalid, and the CUDA will say the
tag is valid.
The solution to this is that any compilation unit that includes
DeviceAdapterTagCuda from a version of VTK-m that has CUDA enabled
must be invoked by the cuda compiler.
BitFields are:
- Stored in memory using a contiguous buffer of bits.
- Accessible via portals, a la ArrayHandle.
- Portals operate on individual bits or words.
- Operations may be atomic for safe use from concurrent kernels.
The new BitFieldToUnorderedSet device algorithm produces an ArrayHandle
containing the indices of all set bits, in no particular order.
The new AtomicInterface classes provide an abstraction into bitwise
atomic operations across control and execution environments and are used
to implement the BitPortals.
`vtkm::cont::testing` now initializes with logging enabled and support
for device being passed on the command line, `vtkm::testing` only
enables logging.
The purpose of the TestBuild infrastructure was to confirm that
VTK-m didn't have any lexical issues when it was a pure header
only project. As we now move to have more compiled components
the need for this form of testing is mitigated. Combined
with the issue of TestBuilds causing MSVC issues, we should
just remove this infrastructure.
554bc3d36 At runtime TryExecute supports a specific deviceId to execute on.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1334
Fixes issue #276.
OpenMP tests when run in parallel exhibit negative scaling as we
have N openMP processes each spawning N threads. We speculate that
this causes excessive context switching and swapping and reduces
performance.
The OpenMP Device Reduction algorithm previously used a std::vector<T>
to store the reduction results of each thread. This caused problems
when T=bool as the types became a proxy type which isn't usable
with vtkm BinaryOperators.
Additionally by fixing this issue in the FunctorsOpenMP we
can remove a workaround in FunctorsGeneral that caused
compile failures when using complex BinaryOperators
such as MinAndMax.
Having VTKM_EXEC on algorithms for CPU devices was problematic because
the algorithms were specific to the CPU, but during a CUDA compile it
would try to compile device code (for no reasons since it was never
called on a device).
Remove these identifiers for the idea that a device implementation knows
specifically what function modifiers to use and does not need the VTK-m
defined catch-alls.
