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.
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);
```
661fb64de AtomicInterfaceControl functions are marked with VTKM_SUPPRESS_EXEC_WARNINGS
0c70f9b9a Add BitFieldIn/Out/InOut worklet signature tags.
a66510e81 Add ArrayHandleBitField, a boolean-valued AH backed by a BitField.
56cc5c3d3 Add support for BitFields.
d01b97382 Allow VTKM_SUPPRESS_EXEC_WARNINGS to be used inside macros.
2f2ca9370 Add bit operations FindFirstSetBit and CountSetBits to Math.h.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1629
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.
When reducing an input type that differs from the output type
you need to write a custom binary operator that also implements
how to do the unary transformation.
566e220ea Suppress dashboard warnings
f20d7e788 Document the changes that are part of this MR.
f78e763be Add CellLocatorGeneral
c6bead838 Rename CellLocatorTwoLevelUniformGrid to CellLocatorUniformBins
ee838b829 Stylistic changes to CellLocators to match VTK-m
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1615
This adds an ExecutionSignature tag named Device that passes the
DeviceAdapterTag as an argument to the worklet's operator(). This allows
worklets to specialize their code based on the device.
Previously we just took the optionparser.h file and stuck it right in
our source code. That was problematic for a variety of reasons.
1. It incorrectly assigned our license to external code.
2. It made lots of unnecessary changes to the original source (like
reformatting).
3. It made it near impossible to track patches we make and updates to
the original software.
Instead, use the third-party system to track changes to optionparser.h
in a different repository and then pull that into ours.
When a library requires reading some command line arguments through a
function like Initialize, it is typical that it will parse through
arguments it supports and then remove those arguments from argc and argv
so that the remaining arguments can be parsed by the calling program.
VTK-m's initialize did not do that, so add that functionality.
The RuntimeDeviceTracker had grown organically to handle multiple
different roles inside VTK-m. Now that we have device tags
that can be passed around at runtime, large portions of
the RuntimeDeviceTracker API aren't needed.
Additionally the RuntimeDeviceTracker had a dependency on knowing
the names of each device, and this wasn't possible
as that information was part of its self. Now we have moved that
information into RuntimeDeviceInformation and have broken
the recursion.
e1f5c4dd9 Modify VariantAH::AsVirtual to cast to new ValueType if needed.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1585
E.g:
```
ArrayHandle<Float64> doubleArray;
VariantArrayHandle varHandle{doubleArray};
ArrayHandleVirtual<Float32> = varHandle.AsVirtual<Float32>();
```
If there is a loss in range and/or precision, a warning is logged. If
the ValueTypes are Vecs with mismatched widths, an ErrorBadType is thrown.
Internally, an ArrayHandleCast is used between the VariantArrayHandle's
stored array and the ArrayHandleVirtual.
These changes caused some warnings in clang to show up based on virtual
methods in other cell locators. Hence, the rest of the cell locators
have also had some of their code moved to vtkm_cont.
All of the methods in CellLocatorBoundingIntervalHierarchy were listed in
header files. This is sometimes problematic with virtual methods. Since
everything implemented in it can just be embedded in a library, move the
code into the vtkm_cont library.
Previously, ArrayHandleVirtual was defined as a specialization of
ArrayHandle with the virtual storage tag. This was because the storage
object was polymorphic and needed to be handled special. These changes
moved the existing storage definition to an internal class, and then
managed the pointer to that implementation class in a Storage object
that can be managed like any other storage object.
Also moved the implementation of StorageAny into the implementation of
the internal storage object.
VTK-m has been updated to replace old per device benchmark executables with a device
dependent shared library so that it's able to accept a device adapter at runtime through
the "--device=" argument.
Mask objects allow you to specify which output values should be
generated when a worklet is run. That is, the Mask allows you to skip
the invocation of a worklet for any number of outputs.
The ArrayPortalValueReference is supposed to behave just like the value
it encapsulates and does so by automatically converting to the base type
when necessary. However, when it is possible to convert that to
something else, it is possible to get errors about ambiguous overloads.
To avoid these, add specialized versions of the operators to specify
which ones should be used.
Also consolidated the CUDA version of an ArrayPortalValueReference to the
standard one. The two implementations were equivalent and we would like
changes to apply to both.
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.
The kernel launch component of the runtime device adapter is fairly
pointless. If the hardware supports CUDA we should expect that
VTK-m has the correct kernel versions.
Plus in the original version if the CUDA device was being used
and the kernel launch returns cudaErrorDevicesUnavailable it
was never possible to restore CUDA support. Now what happens
is that the runtime tracker is marked as failed, but the
calling code can always go back and trying the device again.
When you call VariantArrayHandle::CastAndCall, it now tries both basic
storage and virtual storage. You can modify the types of storages tried
by giving a type list of storage tags as the first argument.
The script fixed up most of the issues. However, there were some
instances that the script was not able to pick up on. There were
also some instances that still needed a means to select types.
Previously you had to exactly match the case of a device adapter's name to
construct it, which was a source of lots of problems ( OpenMP versus OPENMP, CUDA or Cuda ).
Now `vtkm::cont::make_DeviceAdapterId` and `vtkm::cont::RuntimeDeviceTracker` support
case-insensitive device construction.
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
880d8a989 Add `vtkm/Geometry.h` and test it.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1262
This commit adds several geometric constructs to vtk-m
in the `vtkm/Geometry.h` header. They may be used from
both the execution and control environments.
We also add methods to perform projection and Gram-Schmidt
orthonormalization to `vtkm/VectorAnalysis.h`.
See `docs/changelog/geometry.md` included in this commit
for more information.
Found via `codespell` and `grep`
more typos
includes source typo change and a typo that needs further review
follow-up typos
Follow-up typos
Revert a commit
157894436 Enable Vec construction with intializer_list of single value
79afe2a16 Simplify make_ArrayHandleSwizzle
ae8d994d2 Add support for initializer lists in Vec
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1239
Previously, the initilaizer_list of Vec had to be the exact
same number of values as the size of the Vec. Now, we also
accept a single value that is duplicated for all values in
the Vec. That allows you to more easily construct lists
of lists with repeated values.
Calling std::swap isn't legal from CUDA code, but the new vtkm::Swap
method is safe. It currently does a naive swap when compiling CUDA
code, and falls back to an ADL swap
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
Add constructors to the `vtkm::Vec` classes that accept
`std::initializer_list`. The main advantage of this addition is that it
makes it much easier to initialize `Vec`s of arbitrary length.
245d27bd Add changelog documents for major changes I made to VTK-m since 1.2
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1219
This commit adds a worklet and a filter to compute
signed integral measures of cells.
It also begins the practic of adding a markdown
changelog entry in `doc/changelog`. See the
changelog entry for details.
Reformat to look correct in 100 column display.
Update the copyright.
Remove and update some outdated specifications.
Remove description of formatting guidelines. There are done
automatically now.
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.
