Previously, the timer for CUDA devices only called cudaEventSynchronize
at the end event when asking for the elapsed time. This, however, could
allow time to pass from when the timer was reset to when the start event
happened that was not recorded in the timer. This added synchronization
should make sure that all time spent in CUDA is recorded.
b70a000a Allow resetting the Type and Storage of a DynamicArrayHandle in a single call.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !302
vtkm::filter has the use case where we need to reset both the type and
storage of an array handle, by doing both at the same time we can reduce
the number of temporary objects, and invalid conversions of arrays.
Added cont/testing/ExplicitTestData.h which includes several explicit datasets. These datasets come from VTK data generated in VisIt. The new unit tests build datasets in several different ways and do some basic validation.
Add some new methods for DataSetFieldAdd class to improve usability.
c7756c78 TBB SortByKey works now when the key is a ArrayHandleZip.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !301
Previously, the ArrayHandleCompositeVector had a separate implementation
of ArrayPortal for the control and execution environments. Because I was
lazy when I implemented it, the control version did not support Get.
Since originally implementing this class, VTK-m now allows defining
methods that are declared as working in both control and execution
environments (VTKM_EXEC_CONT_EXPORT) but only work in one or the other
depending on methods of templated subclasses they call. Thus, solve this
problem by simply removing the control version of the portal and use the
same portal for both.
1. Additional ASSERT calls to validate arguments in: DataSetBuilderRegular
2. Fix some untested compile errors in DataSetBuilderRectilinear
3. Added a new unit test, cont/testing/UnitTestDataSetBuilderRectilinear.cxx
4. Provided additional tests for UnitTestDataSetBuilderRegular.cxx.
The new tests in (4) were also included in (3), and provide a much more robust way of validating datasets created. It has nested for loops to do an all-all test on various ways to specify the X,Y, and Z coordinates. It computes the bounds on the coordinate system and make sure they are correct.
Note: The GetBounds() call for Rectilinear is not working, and is an item for future discussion. It is disabled for now.
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.
a7127f0f Adding vtkm::cont::RuntimeDeviceInformation.
7d249e89 Move DeviceAdapterTraits into vtkm::cont as they are user API.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !287
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.
The WholeArrayIn, WholeArrayInOut, and WholeArrayOut ControlSignature
tags behave similarly to using an ExecObject tag with an
ExecutionWholeArray or ExecutionWholeArrayConst object. However, the
WholeArray* tags can simplify some implementations in two ways. First,
it allows you to specify more precisely what data is passed in. You have
to pass in an ArrayHandle or else an error will occur (as opposed to be
able to pass in any type of execution object). Second, this allows you
to easily pass in arrays stored in DynamicArrayHandle objects. The
Invoke mechanism will automatically find the appropriate static class.
This cannot be done easily with ExecutionWholeArray.
Scatter in worklets
Add the functionality to perform a scatter operation from input to output in a worklet invocation. This allows you to, for example, specify a variable amount of outputs generated for each input.
See merge request !221
Array transforms can now be created with an inverse functor, allowing for
casts back into the native array type. As a result, array transforms with
both a functor and inverse functor defined can perform read and write
operations. As an example, ArrayHandleCast now supports this operation. The
original implementation of ArrayHandleCast (i.e. read only) has been renamed
'ArrayHandleCastForInput'.
The original workaround for inclusive_scan bugs in thrust 1.8 only solved the
issue for basic arithmetic types such as int, float, double. Now we go one
step further and fix the problem for all types.
The solution is to provide a proper implementation of destructive_accumulate_n
and make sure it exists before any includes of thrust occur.
Previously, there was a declaration ConstArrayPortalFromThrust<const T>
in ArrayManagerExecutionThrustDevice. This proved problematic because
values read from the array in the worklet were typed as const T rather
than simply T. Any Vec or Matrix built from that type would then fail
because they are not meant to work with a const value (which means they
have to be set on construction and never changed.
Instead, declare ConstArrayPortalFromThrust<T> and internally set all
the Thrust pointers to have type const T. Also declare other thrust
pointers used as method parameters to have const T rather than T. This
should work as conversion from T to const T should be fine, but not the
other way around.
Now that ScatterCounting is implemented, we can use that to implement a
good part of the triangle generation in the isosurface algorithm. This
changes the worklet from a basic map to a topology map, which also
reduces a lot of code.
The parallel implementation in CellSetExplicit that builds cell-to-point
connectivity from point-to-cell connectivity uses a parallel sort-by-
key. The sort-by-key in the device adapter is not guaranteed to be
stable, so values associated with a particular key can be in any order.
The test for the result was expecting the connectivity array to be in a
particular order. Change the test to allow any connectivity ordering
that is still valid.
A recent change to the DeviceAdapter header includes the TBB device if
available instead of the serial device. Thus, DeviceAdapterTagSerial was
not defined automatically in all cases for the build of
UnitTestDataSetPermutation. Add the header for that explicitly.
adding VTK file exporter and test cases
This adds a legacy VTK file exporter which supports unstructured, explicit, and point meshes. (Single Cell Type cell sets are also supported.)
See merge request !247
CUDA default constructors, destructors, and assignment operators
Several classes exclusively work in the control environment. However, CUDA likes to add __device__ to constructors, destructors, and assignment operators it automatically creates. This in turn causes warnings about the __device__ function using host-only classes (like boost::shared_ptr). Solve this problem by adding explicit methods for all of these.
See merge request !245
The DynamicArrayHandle and DynamicCellSet classes exclusively work in
the control environment. However, CUDA likes to add __device__ to
constructors, destructors, and assignment operators it automatically
adds. This in turn causes warnings about the __device__ function using
host-only classes (like boost::shared_ptr). Solve this problem by adding
explicit methods for all of these.
The CellSet classes all exclusively work in the control environment.
However, CUDA likes to add __device__ to constructors, destructors, and
assignment operators it automatically adds. This in turn causes warnings
about the __device__ function using host-only classes (like
boost::shared_ptr). Solve this problem by adding explicit methods for
all of these.
The ArrayHandle classes all exclusively work in the control environment.
However, CUDA likes to add __device__ to constructors, destructors, and
assignment operators it automatically adds. This in turn causes warnings
about the __device__ function using host-only classes (like
boost::shared_ptr). Solve this problem by adding explicit methods for
all of these.
Implemented this by wrapping up all these default objects in a macro.
This also solved the problem of other constructors that are necessary
for array handles such as a constructor that takes the base array
handle.
There is a strange nvcc warning in CUDA 7.5 that sometimes happens on MSVC
that causes it to emit a warning for an undefined method that is clearly
defined. The CUDA development team is aware of the problem and is going
to fix it, but these changes will work around the problem for now.
Thanks to Tom Fogal from NVIDIA for these fixes.
Under CUDA, the default constructors and destructors created are exported
as __host__ and __device__, which causes problems because they used a boost
pointer that only works on the host. The explicit copy constructors and
destructors do the same thing as the default ones except declared to only
work on the host.
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
Change Fetches to use ThreadIndices instead of Invocation.
Previously, all Fetch objects received an Invocation object in their
Load and Store methods. The point of this was that it allowed the Fetch
to get data from any of the execution objects. However, every Fetch
either just got data directly from its associated execution object or
else used a secondary execution object (the input domain) to get indices
into their own execution object.
This left two potential areas for improvement. First, pulling data out
of the Invocation object was unnecessarily complicated. It would be much
nicer to get data directly from the associated execution object. Second,
when getting index information from the input domain, it was often the
case that extra computations were necessary (particularly on structured
cell sets). There was no way to share the index information among
Fetches, and therefore the computations were replicated.
This change removes the Invocation from the Fetch Load and Store.
Instead, it passes the associated execution object and a new object type
called the ThreadIndices. The ThreadIndices are customized for the input
domain and therefore have all the information needed for a redirected
lookup. It is also a thread-local object so it can cache computed
indices and save on computation time.
See merge request !233
Array handles for cuda device pointers have been implemented. The data for
these handles exists solely on the exec side (info such as length can be
queried from the cont side).
Previously, all Fetch objects received an Invocation object in their
Load and Store methods. The point of this was that it allowed the Fetch
to get data from any of the execution objects. However, every Fetch
either just got data directly from its associated execution object or
else used a secondary execution object (the input domain) to get indices
into their own execution object.
This left two potential areas for improvement. First, pulling data out
of the Invocation object was unnecessarily complicated. It would be much
nicer to get data directly from the associated execution object. Second,
when getting index information from the input domain, it was often the
case that extra computations were necessary (particularly on structured
cell sets). There was no way to share the index information among
Fetches, and therefore the computations were replicated.
This change removes the Invocation from the Fetch Load and Store.
Instead, it passes the associated execution object and a new object type
called the ThreadIndices. The ThreadIndices are customized for the input
domain and therefore have all the information needed for a redirected
lookup. It is also a thread-local object so it can cache computed
indices and save on computation time.
9a8809f9 Add CellSetPermutation which allows custom iteration over a cell set.
66f6db5a IsWriteableArrayHandle now can tell if an array handle can be written too
20f3fb50 Update VertexClustering to use vtkm::cont::CellSetSingleType.
154896b7 Extend the test for DataSetSingleType.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !228
When you create a CellSetPermutation you provide an array of the cell ids that
you want to iterate. This allows the user to do custom blanking of a data set,
or to do multi iteration over a set of cells.
8bc40880 Add a test for CellSetExplicit::GetIndices
fa81d1de CellSetExplicit always calls methods using "this->"
9e496306 Allow incremental construction of CellSetSingleType.
3e307879 Mark CellSetExplicit::Fill as host side only.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !227
Remove the const from the ValueType of the delegate portal in
ArrayPortalGroupVec. This was creating a Vec with a const type, which
was immutable, which was problematic when trying to create the Vec in
the first place.
The testing of ArrayHandleGroupVec was just using the == operator to
check values. Even though we are not doing any math, optimizers can
sometimes make float values slightly different anyway, so test_equal
should give the correct comparison.
Previously if you created a cell set explicit and didn't set the number of
points you would get a runtime error when you over-ran an array's bounds.
Now we account for this use case and properly generate the Cell To Point
Connectivity.
Even when using implicit index's the ConnectivityExplicit would generate
the code to compute the IndexOffsets, which would than fail to compile as
the ArrayHandle would only support read operations. This fixes that issue.
19cebccf Correct issues that buildbot brought up in the code.
c6dbc0f2 GetNumberOfPointsInCell consistently returns a vtkm::IdComponent
25ff1e94 CellSetExplicit storage tags are now easier to override.
935b3fd6 CellSetExplicit uses UInt8 for shape, and IdComponent for numIndices.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !210
Add new version of DynamicArrayHandle::CastToArrayHandle
This takes a reference to an array handle and fills it. This removes a lot of the pain of determining template arguments.
See merge request !205
98885186 Fix CopyInto tests that use different DeviceAdapterTag
69b2ad2a Add unit tests for CopyInto function
2c55b15c Add additional control logic for CopyInto function
20c1a048 CopyInto function for ArrayHandles
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !202
Xcode 7 warnings
The XCode 7 compiler has a new warning for unused typedefs. The Boost code we use has some instances where this warning gets issued. Suppress these warnings.
See merge request !199
This is to be used in place of BOOST_STATIC_ASSERT so that we can
control its implementation.
The implementation is designed to fix the issue where the latest XCode
clang compiler gives a warning about a unused typedefs when the boost
static assert is used within a function. (This warning also happens when
using the C++11 static_assert keyword.) You can suppress this warning
with _Pragma commands, but _Pragma commands inside a block is not
supported in GCC. The implementation of VTKM_STATIC_ASSERT handles all
current cases.
ArrayHandles in DAX have a CopyInto function which allows the user to copy an array handle's data into a compatible STL type iterator. Originally this was fairly straight forward to implement since array handles in DAX are templated on the DeviceAdapterTag. In contrast, VTKm array handles use a polymorphic ArrayHandleExecutionManager under the hood allowing a single array handle to interface with multiple devices at runtime. To achieve this virtual functions are used. This makes implementing the CopyInto function difficult since it is templated on the IteratorType and virtual functions cannot be templated.
To work around this, I've implemented a concrete templated CopyInto function in the class derived from ArrayHandleExecutionManagerBase. In the ArrayHandle class, CopyInto dynamically casts the base class into the derived class, then calls the CopyInto function defined in the derived class.
The drawback to this approach is that, should the user define their own class that inherits from ArrayHandleExectionManagerBase, they are not forced to implement the CopyInto function, unlike the other virtual functions.
fd685210 Always install all device headers even when device isn't enabled.
b1663b24 Add an example of using multiple backends from a single translation unit.
fc0ff69d Methods with try/catch need to be host only.
4d635d64 DeviceAdapter Tags now always exist, and contain if the device is valid.
cf32b430 Teach Configure.h to store if TBB and CUDA are enabled.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !198
When compiling with cuda and tbb enabled in a single translation unit you
need to make sure all try/catch blocks are marked as host only otherwise
the cuda compiler will error out.
Previously it was really hard to verify if a device adapter was valid. Since
you would have to check for the existence of the tag. Now the tag always
exists, but instead you query the traits of the DeviceAdapter to see if
it is a valid adapter.
This makes compiling with multiple backends alot easier.
The boost assert macros seem to have an issue where they define an
unused typedef. This is causing the XCode 7 compiler to issue a warning.
Since the offending code is in a macro, the warning is identified with
the VTK-m header even though the code is in boost. To get around this,
wrap all uses of the boost assert that is causing the warning in the
third party pre/post macros to disable the warning.
Modify ArrayHandleCounting so that it supports both a starting value and
a step (increment). This adds a multiplication, but the common case that
does not use it is already in a separate class (ArrayHandleIndex).
By introducing our own custom thrust execution policy we can make sure
to hit the fastest code paths in thrust for the sort operation. This makes
sure that for UInt32,Int32, and Float32 we use the radix sort from thrust
which offers a 2x to 3x speed improvement over the merge sort implementation.
Secondly by telling thrust that our BinaryOperators are commutative we
make sure that we get the fastest code paths when executing Inclusive
and Exclusive Scan
Benchmark 'Radix Sort on 1048576 random values vtkm::Int32' results:
median = 0.0117049s
median abs dev = 0.00324614s
mean = 0.0167615s
std dev = 0.00786269s
min = 0.00845875s
max = 0.0389063s
Benchmark 'Radix Sort on 1048576 random values vtkm::Float32' results:
median = 0.0234463s
median abs dev = 0.000317249s
mean = 0.021452s
std dev = 0.00470307s
min = 0.011255s
max = 0.0250643s
Benchmark 'Merge Sort on 1048576 random values vtkm::Int32' results:
median = 0.0310486s
median abs dev = 0.000182129s
mean = 0.0286914s
std dev = 0.00634102s
min = 0.0116225s
max = 0.0317379s
Benchmark 'Merge Sort on 1048576 random values vtkm::Float32' results:
median = 0.0310617s
median abs dev = 0.000193583s
mean = 0.0295779s
std dev = 0.00491531s
min = 0.0147257s
max = 0.032307s
adding cell-to-point topology support and worklet
This adds code to support a cell-to-point topological mapping worklet.
For explicit cell set, there is code to calculate a cell-to-point topology from the canonical point-to-cell topology. (It is not parallelized at this point.) Most of the required code for structured grids was already in place.
See merge request !154
514ac54e Add custom operator and initial value support to ExclusiveScan
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !148
These cell types are inherited from VTK, but they are basically the same
as quad and hexahedron, respectively. The only useful difference is that
pixel and voxel are supposed to be axis aligned, but you cannot
determine that by the cell shape alone (at least not just from the cell
set).
A big issue with these is that their indexing is different that of quad
and hex. The development team had a long discussion about the benefits
of the alternate indexing, but after consulting with Berk Geveci and
Will Schroder from the VTK team, that indexing is not really taken
advantage of at the cell level. Thus, it is really just a nuisance in
VTK-m.
When getting cell indices in a cell to point structured connectivity, it
was previously returning a vtkm::Vec of the maximum size and setting
invalid indices to -1. This is changed to vtkm::VecVariable, which will
reflect the actual number of indices.
I thought I made this change a while ago, but I guess I missed it.
We have been using the term "shape" in the cell set and connectivity
classes. To be consistent, use the term "shape" for the geometric
identify of the cell everywhere.
The PrintSummary for CoordinateSystem went in an infinite loop. It was
supposed to call PrintSummary of its superclass (Field), but instead it
called itself.
The PrintSummary for Field only worked for fields of type vtkm::Float32.
To make it work for all array types, I added a PrintSummary method to
DynamicArrayHandle, and Field calls that without trying to cast to a
static type.
templating topology worklet to support mappings other than point-to-cell
This adds a FromTopology and ToTopology template type to the topology worklet, removing hard-coded types.
This is a precursor step necessary before we can add other mappings (like cell-to-point, etc.).
See merge request !140
The idea of the PointCoordinate classes was to make it easier to define
new special types of point coordinate arrays. But ultimately you have to
create an array handle type, and the CoordinateSystem class pretty much
handles everything else for you. Thus, these classes where being used
nowhere.
The point of making CoordinateSystem a special type of Field object
was so that it could handle special array types like implicit regular
point coordinates. Overload the GetData and GetBounds methods to
properly handle this type of array.
Originally, DynamicArrayHandle only automatically handled the default
type and storage lists. There was an internal subclass that expanded
that to user defined lists, but it was a bit inaccessible. This change
makes DynamicArrayHandle match the structure of DynamicCellSet. There is
now a templated base class named DynamicArrayHandleBase that can accept
any pair of lists. DynamicArrayHandle itself is really just a typedef of
DynamicArrayHandleBase with the default lists.
Previously, coordinate systems in a DataSet simply pointed to field data
specifying the coordinate information (although the ability to get that
back out of the DataSet was missing). This makes sense since point
coordinates are in fact just fields with a particular semantic meaning
to them.
However, there is an issue with this approach. It turns out that there
are special representations that are very common for point coordinates
and very uncommon for other types of fields. For example, a uniform
(a.k.a. regular or image) grid has point coordinates that are easily
derived from the point index, but such fields are quite uncommon
elsewhere.
Representing this kind of structure in the Field list of a DataSet is
problematic. Either all fields have to check to see if they are this
type, which will cause an explosion of unnecessary generated code, or
you will have to actually write out the coordinates in memory, which is
really wasteful but what was done previously.
However, by storing fields representing coordinate systems in a separate
batch, we can use these special types without the stated explosion.
Move ArrayPortalUniformPointCoordinates to the vtkm::internal namespace
since it is going to be actively used in both control and execution
environments.
Replace usage of extent with simple dimensions. We have decided that
there is not a lot of value in supporting extent in VTK-m.
Variable topology fields
Changes to fetching in topology maps that lets you properly deal with cases where you do not know how many values are being fetched at compile time. For example, explicit cell sets can have any number of cell shapes that have different numbers of nodes.
This change should resolve issue #26.
See merge request !128
Workaround thrust 1.8 inclusive scan issue.
Starting in thrust 1.8 the implementation of scan inclusive inside
thrust became highly optimized by using parallel task groups. This
new implementation has a bug that only exists when using custom
binary operators, large size arrays, release mode, and no
debugger or mem-checker attached.
While I have submitted the issue to thrust, we need to be able
to work around the existing issue. The solution I have chosen is
to mark all vtkm::exec::cuda::interal::WrappedBinaryOperators
as being commutative as far as thrust is concerened. To make
sure we don't get any unexpected behavior I have also had
to create WrappedBinaryPredicate so that we don't mark any
predicate as commutative.
See merge request !129
Starting in thrust 1.8 the implementation of scan inclusive inside
thrust became highly optimized by using parallel task groups. This
new implementation has a bug that only exists when using custom
binary operators, large size arrays, release mode, and no
debugger or mem-checker attached.
While I have submitted the issue to thrust, we need to be able
to work around the existing issue. The solution I have chosen is
to mark all vtkm::exec::cuda::interal::WrappedBinaryOperators
as being commutative as far as thrust is concerened. To make
sure we don't get any unexpected behavior I have also had
to create WrappedBinaryPredicate so that we don't mark any
predicate as commutative.
My version of the PGI compiler was having problems with using
IteratorFromArrayPortal with STL algorithms. I traced the problem to
iterator_facade checking to see if the reference type we gave it was
a real reference (e.g. T&). It is not, iterator_facade downgraded the
iterator trait to a simple input iterator tag even though I declared
it with a random access traversal. I don't know what the reference type
has to do with random access, but in any case the value object is
designed to behave like a reference in that when you assign to it
the value gets propagated to the array. To tell boost this is the case,
I made a specialization of boost::is_reference that declares the
value type as a reference.
I'm not sure why it failed for me but not elsewhere. It might be that
this version of the PGI compiler is using "old-style" iterator traits
whereas other were using newer style that matches better the boost
iterator traits that iterator_facade is actually using.
BOOST_MPL_ASSERT is causing warnings in the PGI compiler. Apparently,
when BOOST_MPL_ASSERT succeeds it declares a static object with a unqiue
name scoped to the file. The problem is that the PGI compiler is pretty
picky about things being declared without being used, so it was emitting
useless warnings about successful BOOST_MPL_ASSERTs. However,
BOOST_STATIC_ASSERT does not seem to have this problem, so for the benefit
of PGI change the compile-time assert method.
We want to be able to get topological connections where it is difficult
to know how many values you get each time. In this change, the type of
the vector holding the from indices is determined from the connectivity
object, and the worklet does not know the type (it must be templated).
Although you do not need to specify the max number for this value set
(you still currently do for field values), we still need to change the
type for explicit sets that uses something that does not rely on the Vec
class. The cell-to-point method also needs a Vec wrapper that allows it
to shorten the vector dynamically.
Previously, all arrays passed to worklets were designated as either
input or output. No in-place operation was permitted. This change adds
the FieldInOut tag for ControlSignature in both WorkletMapField and
WorkletMapTopology that allows you to read and write from the same
array.
Clean up CellSet
Underneath the CellSet implementation is a set of supporting classes that manage the actual structure in both the control and execution environments. However, the implementation of these classes was a bit confusing and inconsistent. The following changes are made:
* Most significantly, there is no longer any Connectivity classes in the control environment. This functionality has been wrapped up into the CellSet classes, which is more consistent and easier to understand. (There was a definite distinction between CellSet and Connectivity, but it was subtle and difficult to understand.) This also means that edits to CellSets happen to CellSets directly.
* The set of classes for structured and explicit cell sets match. There is different functionality within, but the class naming and meaning are consistent.
* Make the class names more consistent with the rest of VTK-m class names. Specifically classes like ExplicitConnectivity become ConnectivityExplicit. Also, the words regular and structured were being used interchangeably. Now, always use structured except when dealing specifically with grids of regular spacing.
* The connectivity classes were using the nomenclature "From" and "To" to specify topological elements of links. The same concept in worklet classes were using the nomenclature "Src" and "Dest." For consistency, all references are changed to "From" and "To".
* Unlike explicit cell sets, structured cell sets have functionality shared between control and execution environments. Rather than duplicate it or create unique exposed classes, have a shared internal implementation in vtkm::internal.
See merge request !117
The storage used will now be aligned to `VTKM_CACHE_LINE_SIZE bytes,
resulting in slightly better cache usage and load/store performance.
This define is set in `StorageBasic.h We also now detect if Posix is
available in Configure.h and will define VTKM_POSIX with _POSIX_VERSION
if it's available.
The AlignedAllocator used by StorageBasic is also STL compatible
and can be used in STL containers so user's can use it in their
std::vector and pass aligned user memory to the storage.
(Re-) Add a helper structure that holds the connectivity information for
a particular topology connection (e.g. from points to cells) to make it
easier to manage connections in multiple different directions in
CellSetExplicit.
Unlike the previous version of connectivity, this structure is
considered "internal" and not exposed through the API so that
CellSetExplicit can better manage the data. Also, many of the helper
methods remain in CellSetExplicit since they were specific for point-to-
Also, CellSetExplicit has a mechanism to take an arbitrary pair of
TopologyElementTags and get the appropriate connectivity. This should
simplify adding connections in the future.
Robert Maynard tells me that the TBB backend has been tried on versions
of TBB back to 4.0. Since the patch appears to work across them, allow
those versions too.
We have a patched version of TBB's parallel_for.h in our files that
fixes a problem with using std::swap. This issue has since been fixed in
TBB, so for newer versions we should revert back to TBB's
implementation.
Most of VTK-m follows the convention of calling the 0D topology elements
"points" (which follows the convention of VTK). However, there were
several places where they were referred to as "nodes." Make things
consistent by calling them points everywhere.
Also merged some redundant ExecutionSignature tags.
Previously there was a Connectivity* structure for both the control
environment and the execution environment. This was necessary before
because the connectivity is explicit to the from and to topology
elements, so you would get this structure from the appropriate call to
CellSet*. However, the symantics are changed so that the type of
connectivity is selected in the worklet's dispatcher. Thus, it is now
much cleaner to manage the CellSet structure in the CellSet class itself
and just have a single set of Connectivity* classes in the execution
environment.
Also moved from vtkm namespace to vtkm::internal namespace. This change
is to then move the structured connectivity classes to the cont and exec
namespaces.
Previously, the items used to identify parts of topology like points,
cells, faces, etc. were in an enumeration. However, they are only really
used in template specialization, and it is easier to use tags in this
case. So, change the enumeration to a set of tag structures. Also made
the following changes:
* Renamed TopologyType to TopologyElement, which is more indicative of
what we are referring to.
* Moved the structures from the vtkm::cont namespace to the vtkm
namespace. There is no reason not to be able to use them from either the
control or execution environments.
* Added a VTKM_IS_TOPOLOGY_ELEMENT_TAG macro to do type checks on
template arguments that are supposed to be topology element tags.
GCC warnings
Attempt to fix any compiler warnings that appear on GCC dashboards.
I also was using a pretty picky compiler, so there is probably several fixes that have no impact on the current dashboard set.
See merge request !110
C and C++ has a funny feature where operations on small integers (char
and short) actually promote the result to a 32 bit integer. Most often
in our code the result is pushed back to the same type, and picky compilers
can then give a warning about an implicit type conversion (that we
inevitably don't care about). Here are a lot of changes to suppress
the warnings.
On one of my compile platforms, GCC was giving conversion warnings from
any boost include that was not wrapped in pragmas to disable conversion
warnings. To make things easier and more robust, I created a pair of
macros, VTKM_BOOST_PRE_INCLUDE and VTKM_BOOST_POST_INCLUDE, that should
be wrapped around any #include of a boost header file.
DynamicCellSet
Add a ```DynamicCellSet``` class to use in place of raw pointers or boost ```smart_ptr```s to make managing the anonymous class and casting easier.
See merge request !103
The Invoke of the topology dispatcher is also changed to expect a
concrete cell set (which the DynamicCellSet is automatically cast to)
rather than a connectivity structure. The dispatcher calls the
GetNodeToCellConnectivity method for you. (That is currently the only
one supported.)
The original implementing tried to run 2^31 kernels and detect a
launch failure to determine this use-case. The issue with this approach
is that on a cuda 3+ gpu, this would take multiple seconds and cause
the gpu to terminate the kernel when opengl was also loaded.
Previously, IteratorFromArrayPortal was declaring its difference_type
to be vtkm::Id. Although this is allowed, there is code that assumes
that iterators have a difference_type that is ptrdiff_t or something
similar. This change makes the difference_type the default for the
boost iterator facade, which should be the type other code that\
neglects to check expects.
The DynamicCellSet will be used in place of the pointer to a CellSet
in a DataSet. This will prevent us from having to cast it all the time
and also remove reliance on boost smart_ptr.
MSVC ArrayHandle fail
Fix the fact that UnitTestArrayHandle is failing on the Windows dashboards. Also fix some of the MSVC warnings.
See merge request !101
The test was creating a large array on the stack, and this caused a
problem on Windows for some reason. Instead of putting the array on
the stack, use an std::vector. Also reduced the size of the array
used. It seemed unnecessarily large.
Also re-enabled the tests where VTK-m allocates its own ArrayHandle
data.
