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.
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
Previously the example would only time using the serial device
adapter, which wouldn't work when the user explicitly specified
a device on the command line.
We now have a couple of the examples also being built against
the installed version of VTK-m as a test. This allow us to verify
that VTK-m installs and can be found properly.
The timer class now is asynchronous and device independent. it's using an
similiar API as vtkOpenGLRenderTimer with Start(), Stop(), Reset(), Ready(),
and GetElapsedTime() function. For convenience and backward compability, Each
Start() function call will call Reset() internally and each GetElapsedTime()
function call will call Stop() function if it hasn't been called yet for keeping
backward compatibility purpose.
Bascially it can be used in two modes:
* Create a Timer without any device info. vtkm::cont::Timer time;
* It would enable timers for all enabled devices on the machine. Users can get a
specific elapsed time by passing a device id into the GetElapsedtime function.
If no device is provided, it would pick the maximum of all timer results - the
logic behind this decision is that if cuda is disabled, openmp, serial and tbb
roughly give the same results; if cuda is enabled it's safe to return the
maximum elapsed time since users are more interested in the device execution
time rather than the kernal launch time. The Ready function can be handy here
to query the status of the timer.
* Create a Timer with a device id. vtkm::cont::Timer time((vtkm::cont::DeviceAdapterTagCuda()));
* It works as the old timer that times for a specific device id.
This is a library that contains parts of worklets that can be
precompiled into a library.
Currently, this library contains the implementation of ScatterCounting.
Also
- Renamed vtkm::cont::make_DeviceAdapterIdFromName to just overload
make_DeviceAdapterId.
- Refactored CMake logic for unit tests
- Since we're now querying the device tracker for the names, they
cannot be all caps.
- Updated usages of InitLogging to use Initialize instead.
- Added changelog.
Previously, WorkletPointNeighborhood had a template argument to select
the size of the neighborhood. This change removes that template
argument. Instead, the vtkm::exec::arg::BoundaryState methods now take
in a size parameter when determining when it overlaps the boundary.
If in the future we want to add the ability to select the neighborhood
size at compile-time (for performance reasons), I suggest adding this
template argument to the OnBoundary tag for ExecutionSignature.
Now that the dispatcher does its own TryExecute, filters do not need to
do that. This change requires all worklets called by filters to be able
to execute without knowing the device a priori.
This will make it easier to support integrators as an ExecObject.
One side effect is that the integrators and partical advection
are not templated by the type of the field.
Regardless of the type of the field, there is probably little reason to
compute particle advection with less than 64 bit floats to account for
accumulated errors. This will make it easier to use these classes.
Make the types consistent in an std::accumulate call. Previously it was
taking vtkm::Id values, multiplying them as std::size_t, and then
storing them in an int. Now, the std::accumulate does everything as a
vtkm::Id and at the end converts the result to an std::size_t.
c05b04c9d Fix windows warnings of duplicate symbols
12b90c434 Rename PPP2 to Augmented.
6f5c383e1 Move PPP2 over to constexpr instead of defines
f828ebfd4 Update PPP2 to dispatcher that don't require a device adapter template
98fd16d9a Correct PPP2 warnings found from 32bit builders
b460f5611 Make sure ContourTreeApp obeys the desired device
432ee3422 Optimize the PPP2 ActiveGraphs to reduce size of device transfers
2370a6cc5 Refactor the PPP2 work based on Code Review and add UnitTests.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1376
Rather than force all dispatchers to be templated on a device adapter,
instead use a TryExecute internally within the invoke to select a device
adapter.
Because this removes the need to declare a device when invoking a
worklet, this commit also removes the need to declare a device in
several other areas of the code.
6990b605b The multi backend example now doesn't share data between blocks
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !1344
The added files provide support for Lagrangian analysis of velocity fields of time-varying data. Examples show how to use the filter to generate data and a second example demonstrates consuming generated information to calculate new particle trajectories.
