669ccb913 Refactor CellSetExplicit to store connectivity in a shared_ptr.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1373
41d492e84 The root CMakeLists.txt variable existence logic is all in the same spot
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1370
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
By facilitating brigand library, we can throw a meaningful compile time
error if the placeholder in execution signature exceeds the bound in
control signature.
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.
1212081de Support deferred freeing for CUDA memory
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1368
Calls to 'cudaFree' block execution on all cuda devices. Reduce the number of
times this happens by having a deferred free mechanism that frees a pool
of pointers together when a threshold is reached.
Especially helpful during virtual object transfers that requires a few small
allocations and frees.
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 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.
52549c85d Warning fixes to UnitTestLagrangianFilter.cxx
a99da2dff Added a Unit test for Lagrangian filter
3364d1c4e Lagrangian filter, example
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1351
39f791e6e Disable the UnitTestBoundingIntervalHierarchy test
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1362
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.
f6da09214 Use CUDA_ARCH instead of CUDACC to guard device-only code.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1361
2c079b96d Make AtomicArrays work on CUDA 8.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1357
c332dbd0a Only add the rules to run openmp tests serially when testing is enabled
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Matt Larsen <mlarsen@cs.uoregon.edu>
Merge-request: !1358
Also add a throwFailedRuntimeDeviceTransfer that throws a nicely
detailed message on why a something couldn't be transfered to
the requested device adapter.
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
Fixes issue #276.
OpenMP tests when run in parallel exhibit negative scaling as we
have N openMP processes each spawning N threads. We speculate that
this causes excessive context switching and swapping and reduces
performance.
