183bcf109 Add initial version of an OpenMP backend.
7b5ad3e80 Expand device scheduler test to check for overlap.
e621b6ba3 Generalize the TBB radix sort implementation.
d60278434 Specialize swap for ArrayPortalValueReference types.
761f8986f Cache inputs to SSI::Unique benchmark.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1099
This fix addresses issue #110. Test functions in TestingDeviceAdapter have
been updated to test large arrays through random indices using
std::uniform_int_distribution rather than testing every 100th or 50th value.
The implementation of ScanExclusiveByKey in
DeviceAdapterAlgorithmGeneral by shifting values in the input values
array and then calling ScanInclusiveByKey. However, the temporary
shifted values array was created using the key type instead of the
values type. This caused a compile error when the keys and values had
different types.
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.
There were some issues for device adapter algorithms (like scan and
reduce) for empty arrays or arrays of size 1. This adds tests for these
short arrays to the device adapter algorithm tests and fixes these
problems.
This will expose bugs inside the tbb backend. We had to use heap allocations
for test arrays, instead of stack as the new array increases started to
cause stack overflow on windows.
b97b4cc7 Allow thrust::reduce to work when iterator and initial value types differ.
64bcc343 Refactor MinAndMax to use vtkm::Vec<T,2> instead of Pair.
8d60ed57 Refactor MinAndMax to be a shared binary operator.
18375b54 Update Bound computations to always use a single Reduce call
2cfc9743 Reduce can support reduce to a T type that isn't the arrayhandles T type.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !614
We previously included windows.h in numerous locations using different
techniques to guard against bringing in parts of the file that are bad
(min/max macros, etc). This solves the problem by consistently using
vtkm/internal/Windows.h to setup everything.
Change the VTKM_CONT_EXPORT to VTKM_CONT. (Likewise for EXEC and
EXEC_CONT.) Remove the inline from these macros so that they can be
applied to everything, including implementations in a library.
Because inline is not declared in these modifies, you have to add the
keyword to functions and methods where the implementation is not inlined
in the class.
This allows callers to copy a subsection of an array into another array,
without clearing the contents of the destination array if a resize
is required.
Even when running with the serial backend, the compiler might enable SIMD
vectorization when optimizations are turned on. When this occurs, we need
to use properly atomic Add's and CAE's.
Add lots of checks to CUDA calls in the timer to try to identify any
problems that might be showing up on the dashboard.
Also adding some print statements around the sleep function in the
device adapter testing. For some reason the problem just went away with
them.
Previously each device adapter only had a unique string name. This was
not the best when it came to developing data structures to track the status
of a given device at runtime.
This adds in a unique numeric identifier to each device adapter. This will
allow classes to easily create bitmasks / lookup tables for the validity of
devices.
The RuntimeDeviceInformation class allows developers to check if a given
device is supported on a machine at runtime. This allows developers to properly
check for CUDA support before running any worklets.
When writing multiple backend code users of vtkm need to use the
DeviceAdapterTraits classes, so therefore we should move them to vtkm::cont
to signify this.
This now allows for even more efficient construction of uniform point
coordinates when running under the 3d scheduler, since we don't need to go
from 3d index to flat index to 3d index, instead we stay in 3d index
The CMake flag and define differ in their capitalization of the 'm' in
VTKm so I've made CMake variables that match those used in Configure.h.in,
thereby keeping the original naming of VTKm in CMake code, and VTKM in the
C++ code.
This fix also revealed some areas in CellSet and CellSetExplicit where ints
where used instead of vtkm::Ids which caused errors with child classes who
override the methods and returned a vtkm::Id instead of an int.
Also fixed issues that appeared in TestOutOfMemory which got out of date due
to not being compiled since the `VTKM_USE_64BIT_IDS` flag would never be set.
The test now runs and passes when 64bit ids are enabled.
The previous implementation assumed the identity value to be zero, which does
not work for multiplication. Changed the interface to require an initial value
for Exclusive Scan with custom operator (TBB Device only, for now).
We have increased the ARRAY_SIZE for the TestingDeviceAdapter to work
around issues with backends not using parallel algorithms for arrays of length
500 or less.
The driving desire for this change was to make vtk-m ArrayHandle behave more
like the standard vector. The canonical example of what we want to support is:
```
std::vector<vtkm::Id> values;
values.resize(100);
vtkm::cont::ArrayHandle<vtkm::Id> array = vtkm::cont::make_ArrayHandle(values);
vtkm::cont::DeviceAdapterAlgorithm<DeviceAdapter>::Sort(array);
```
And with-out the ability to modify user provided memory, this was impossible.
