bbb391226 VTKmTestInstall properly propagates compiler flags
86df1d27b Update VTKmMPI to handle CMake 3.13+
118583dea Test compilations against installed VTK-m work with CUDA enabled
8f1589c96 Correct license on FindMPI.cmake
74d713c77 Install compilation tests are enabled when examples are disabled
fb6235e0e VTK-m and DIY now properly export MPI requirements.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1712
Previously an installed version of VTK-m wasn't relocatable as
it had system MPI paths. Additionally the installed vtkm_diy target
would depend on MPI but not `find_package(MPI)`
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
512d0431e Cell and Point locators have correct export visibility
c7f827581 Correct signed to unsigned warning conversion found by clang-8
c28797845 Gradient's ComputeDivergence is now properly initialized
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1705
3c85f7f40 Correct undefined behavior from missing export on ErrorMessageBuffer
e298e05bc Test will now fail if programs such as UBSAN output "runtime error"
feb66f970 Make VTK-m use consistent symbol visibility for benchmarks
b43d61533 Make VTK-m use consistent symbol visibility for tests.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1699
a9e6a919d Correct a subtle difference in the SplitSharp multiple pass algorithm
0f61808da SplitSharpEdges worklet does more algorithm execution on the device.
20fa341a2 SplitSharpEdgesFilter test now checks against a structured dataset
99865f47d Update Wavelet worklet to support a runtime device adapter id
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1693
Fixes#373
The SplitSharp algorithm has two passes that have the same algorithm,
but does different work with the final computed state. The issue was
that in the original implementation the two algorithms differed slightly.
This refactors the code to have a single implementation of the algorithm,
to avoid this form of issue going forward.
fbbc18590 Use logging to output status of VTKDataSetReaderBase
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1689
2e0f4dd37 Fix floating point error in test
b766d9a92 Improve support of testing recursive types
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1691
The original implementation predates the logging and so just outputted
error and warning messages to stderr. Changed these to the more
appropriate logging mechanism.
The UnitTestCudaArrayHandleFancy was failing because it was
was calling TestValue in a worklet and comparing that to
a value that was generated by calling TestValue on the host.
Because these were called on different architecture, it is
possible that they will not be bit-wise exact. Add a little
bit of tolerance to the check to avoid false failures for
this reason.
HasVecTraits<T> is a template that will resolve to std::true_type if
VecTraits<T> is properly defined and std::false_type otherwise. This is
helpful when defining classes and methods that use VecTraits but you
still want them to compile if VecTraits does not exist.
All C++11 compilers support _Pragma to insert pragmas inline into code
and within macros. All compilers, that is, except for visual studio
because Microsoft has to be contrarian and make life miserable for all
programmers. Instead, you have to use __pragma with visual studio.
401b12bd6 Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m into add_polyLine
fea18190f Specialized cases for cell-edge functions on polylines.
d310ec3aa return type is void. Call vertex/line methods, then just return.
d6898b805 Fix cell deriv for polylines and remove print statements.
9157004ac Merge branch 'master' of https://gitlab.kitware.com/vtk/vtk-m into add_polyLine
d6e2e9588 Remove debugging print statements.
b9d109ab3 Fix for CellEdgeFace test. Case is identical to polygon.
d7e793861 Fix compiler warnings. Comment out std::cout usage for testing with cuda.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1677
42a3602ed Had missed a few unused variables when fixing rebase issues.
63a4e696c vim retabed and removed trailing whitespaces form Unit Test
e0000f35f Should be working now
63165904c Merged with the pull (reword)
5cc1de297 Clearing out unused variables
c7bd79e78 Extract Structured with Offset
56598ebfa Maybe closer
5feadd166 Pushing for Abhishek (Don't merge)
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1644
Did a bad rebase to fix old commit message. Propagated merge conflicts
through so things got really confusing. Code looks to be back to normal
now though.
bcaf7d9be ScopedRuntimeDeviceTracker have better controls of setting devices.
4212d0c04 RuntimeDeviceInformation now says the AnyTag exists.
fa03dc664 ScopedRuntimeDeviceTracker requires a device to execute on when constructed.
4020f5198 RuntimeDeviceTracker can't be copied and is only accessible via reference.
e9482018e ScopedRuntimeDeviceTracker has the same API as RuntimeDeviceTracker
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1676
These methods need to be marked inline as they are used by multiple
TU's. When they aren't marked as inline we see random failures in
downstream VTK-m users generally when CUDA is enabled due to ODR
violations.
The ScopedRuntimeDeviceTracker now can force, enable, or disable
devices. Additionally the ScopedRuntimeDeviceTracker and the
RuntimeDeviceTracker handle the DeviceAdapterTagAny robustly
across all methods.
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.
63fe0f096 DispatcherReduceByKey uses the scheduling_range like all other dispatchers
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1674
The 8x8x8 is a better launch strategy for most VTK-m kernels.
The current problem is that a couple of VTK-m kernels use a
high number of registers and this number of threads combines to
require too many registers.
What we should do in the longer run is have more controls over
kernel launches on a per kernel basis. This will require VTK-m
to extract the number of registers being used by each kernel
41b8236a2 For GCC 4.8.4 'half' shadows a global variable with that name
770912f99 Correct compiler issues found with GCC 4.8.5 + CUDA 9.2 on summit
b248b2c93 Correct unused-parameter warnings from defaulted methods.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1666
The consistent API for control to execution memory transfers is
the ArrayHandle class. Previously the tests would verify memory
transfer by calling the ArrayManagerExecution class directly. This
is problematic as the class isn't used by ArrayHandle<T, StorageBasic>.
When TransferInfo is given memory from VirtualObjectTransferShareWithControl
it doesn't have a bound function ptr for the destruction. In those cases
we need to make sure the HostCopyOfDevice is properly deleted, otherwise
we will cause a memory leak.
bdabfbe11 Make sure ArrayPortalUniformPointCoordinates constructor is explicit
b3d951b50 vtkm::Range Include function now requires half as many min/max calls
ddaa0df26 ArrayHandleVirtualCoordinates now calls the proper parent constructor
61e800379 Make sure all execution side CellLocator objects have explicit destructors
307898ff6 Cleanup the CellLocatorBoundingIntervalHierarchy.cxx style.
0f31c69f3 Remove unnecessary constructor from ParameterContainer
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1657
Previously it was calling the ArrayHandle<T,StorageTagVirtual>
constructor and not the ArrayHandleVirtual constructor which
generated a warning with some compilers
There is a small section in the code generated from Math.h.in that is
subject to clang formatting. A recent change reformatted that bit of
Math.h, so we need to update Math.h.in accordingly.
ff687016e For VTK-m libs all includes of DeviceAdapterTagCuda happen from cuda files
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1648
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.
d8cc067ca Remove DeviceAdapterError as it isn't needed any more.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1649
Fixes#277
DeviceAdapterError existed to make sure that the default device adapter
template was being handled properly. Since the default device adapter doesn't
exist, and nothing is templated over it we can now remove DeviceAdapterError.
9c2920072 UnitTestBoundingIntervalHierarchy handles systems under load better
671c1df5c Timer logs the proper device name when called with an invalid device
d3d66a331 GameOfLife example always uses the proper device adapter
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1645
The UnitTestBoundingIntervalHierarchy has historically had problems
when the machine is already under-load when the algorithm is executed.
By limiting the number of openMP threads the test uses we can
reduce the amount of CPU time slicing that this test causes.
VTK-m now offers a more GPU aware set of defaults for kernel scheduling.
When VTK-m first launches a kernel we do system introspection and determine
what GPU's are on the machine and than match this information to a preset
table of values. The implementation is designed in a way that allows for
VTK-m to offer both specific presets for a given GPU ( V100 ) or for
an entire generation of cards ( Pascal ).
Currently VTK-m offers preset tables for the following GPU's:
- Tesla V100
- Tesla P100
If the hardware doesn't match a specific GPU card we than try to find the
nearest know hardware generation and use those defaults. Currently we offer
defaults for
- Older than Pascal Hardware
- Pascal Hardware
- Volta+ Hardware
Some users have workloads that don't align with the defaults provided by
VTK-m. When that is the cause, it is possible to override the defaults
by binding a custom function to `vtkm::cont::cuda::InitScheduleParameters`.
As shown below:
```cpp
ScheduleParameters CustomScheduleValues(char const* name,
int major,
int minor,
int multiProcessorCount,
int maxThreadsPerMultiProcessor,
int maxThreadsPerBlock)
{
ScheduleParameters params {
64 * multiProcessorCount, //1d blocks
64, //1d threads per block
64 * multiProcessorCount, //2d blocks
{ 8, 8, 1 }, //2d threads per block
64 * multiProcessorCount, //3d blocks
{ 4, 4, 4 } }; //3d threads per block
return params;
}
vtkm::cont::cuda::InitScheduleParameters(&CustomScheduleValues);
```
