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.
VTK-m has been updated to replace old per device worklet testing executables with a device
dependent shared library so that it's able to accept a device adapter
at runtime.
Meanwhile, it updates the testing infrastructure APIs. vtkm::cont::testing::Run
function would call ForceDevice when needed and if users need the device
adapter info at runtime, RunOnDevice function would pass the adapter into the functor.
Optional Parser is bumped from 1.3 to 1.7.
By making RuntimeDeviceInformation class template independent, vtkm is
able to detect
device info at runtime with a runtime specified deviceId. In the past
it's impossible
because the CRTP pattern does not allow function overloading(compiler
would complain
that DeviceAdapterRuntimeDetector does not have Exists() function
defined).
It's a filter that Split sharp manifold edges where the feature angle
between the adjacent surfaces are larger than the threshold value.
When an edge is split, it would add a new point to the coordinates
and update the connectivity of an adjacent surface.
Ex. there are two adjacent triangles(0,1,2) and (2,1,3). Edge (1,2) needs
to be split. Two new points 4(duplication of point 1) an 5(duplication of point 2)
would be added and the later triangle's connectivity would be changed
to (5,4,3).
By default, all old point's fields would be copied to the new point.
Use with caution.
The VTKM_TEST_ASSERT macro is a very useful tool for performing checks
in tests. However, it is rather annoying to have to always specify a
message for the assert. Often the failure is self evident from the
condition (which is already printed out), and specifying a message is
both repetative and annoying.
Also, it is often equally annoying to print out additional information
in the case of an assertion failure. In that case, you have to either
attach a debugger or add a printf, see the problem, and remove the
printf.
This change solves both of these problems. VTKM_TEST_ASSERT now takes a
condition and a variable number of message arguments. If no message
arguments are given, then a default message (along with the condition)
are output. If multiple message arguments are given, they are appended
together in the result. The messages do not have to be strings. Any
object that can be sent to a stream will be printed correctly. This
allows you to print out the values that caused the issue.
This is a subclass of ExecutionObject and a superset of its
functionality. In addition to having a PrepareForExecution method, it
also has a PrepareForControl method that gets an object appropriate for
the control environment. This is helpful for situations where you need
code to work in both environments, such as the functor in an
ArrayHandleTransform.
Also added several runtime checks for execution objects and execution
and cotnrol objects.
This change allows you to set a subclass of
vtkm::cont::ExecutionObjectBase as a functor
used in ArrayHandleTransform. This latter class will then detect that
the functor is an ExecObject and will call PrepareForExecution with the
appropriate device to get the actual Functor object.
This change allows you to use virtual objects and other device dependent
objects as functors for ArrayHandleTransform without knowing a priori
what device the portal will be used on.
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.
59c8bd28a vtkm::cont::Algorithm now can be told which device to run on at runtime
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1365
084b4d760 Document some of the VTK-m coding style such as single line loops
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1366
e34301eca Allow disabling/enabling of CUDA managed memory via an env variable
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1359
By setting the environment variable "VTKM_MANAGEDMEMO_DISABLED" to be 1,
users are able to disable CUDA managed memory even though the hardware is
capable of doing so.
The auto code formatting doesn't capture the entire VTK-m style
and developers should know the style before they open a merge request
and get a billion warnings.
The changelog is updated to replace initializer list changes with
variadic constructors and constexpr changes.
On OSX and Linux:
| Type |Constructed with| Compile time | Run Time
|-----|---|---|---|
|scalar(1~4) | () | Yes | |
|scalar(1~4) | {} | Yes | |
|scalar(>4) | () | Yes | |
|scalar(>4) | {} | | Yes |
|nested type(1~4) | () | Yes | |
|nested type(1~4) | {} | Yes | |
|nested type(>4) | () | ERROR | ERROR|
|nested type(>4) | {} | | Yes |
Only on windows with a compiler older than Visual Studio 2017
version 15.0 is vec with size>4 constructed at compile time.
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.
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
std::random_shuffle is deprecated in C++14 because it's using std::rand
which uses a non uniform distribution and the underlying algorithm is
unspecified. Using std::shuffle can provide a reliable result in a 64
bit version.
It will reduce the cost of getting the thread runtime device tracker,
and will have a better runtime overhead if user constructs a lot of
short lived threads that use VTK-m.
The oscillator is a simple analytical source of time-varying data.
It provides a function value at each point that is computed as a
sum of Gaussian kernels -- each with a specified position, amplitude,
frequency, and phase.
This commit adds a worklet as well as a filter that modify point coordinates by moving points
along point normals by the scalar amount times the scalar factor.
It's a simpified version of the vtkWarpScalar class in VTK. Additionally the filter doesn't
modify the point coordinates, but creates a new point coordinates that have been warped.
This commit adds a worklet as well as a filter that modify point coordinates by moving points
along a vector by a certain scalar amount.
It's a simpified version of the vtkWarpVector in VTK.
It doesn't modify the point coordinates, but creates a new point coordinates that have been warped.
The original design of invoke and the transport infrastructure
relied on the implementation behavior of vtkm::cont types
such as ArrayHandle that used an internal shared_ptr to managed
state. This allowed passing by value instead of passing by
non-const ref when needing to transfer information to the device.
As VTK-m adds support for classes that use virtuals the ability
to pass by base pointer type allows for us to invoke worklets
using a base type without the risk of type slicing.
Additional by moving over to a non-const ref Invocation we
can update all transports that have 'output' to now be
by ref and therefore support types that can't be copied while
being 'more' correct.
Most of the arguments given to device adapter algorithms are actually
control-side arguments that get converted to execution objects internally
(usually a `vtkm::cont::ArrayHandle`). However, some of the algorithms,
take an argument that is passed directly to the execution environment, such
as the predicate argument of `Sort`. If the argument is a plain-old-data
(POD) type, which is common enough, then you can just pass the object
straight through. However, if the object has any special elements that have
to be transferred to the execution environment, such as internal arrays,
passing this to the `vtkm::cont::Algorithm` functions becomes
problematic.
To cover this use case, all the `vtkm::cont::Algorithm` functions now
support automatically transferring objects that support the `ExecObject`
worklet convention. If any argument to any of the `vtkm::cont::Algorithm`
functions inherits from `vtkm::cont::ExecutionObjectBase`, then the
`PrepareForExecution` method is called with the device the algorithm is
running on, which allows these device-specific objects to be used without
the hassle of creating a `TryExecute`.
1. Have a per-thread pinned array for cuda errors
2. Check for errors before scheduling new tasks and at explicit sync points
3. Remove explicit synchronizations from most places
Addresses part 2 of #168
