mirror of
https://gitlab.kitware.com/vtk/vtk-m
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8d04796b1f
Basically we can run the gradient worklet and compute the Divergence, Vorticity, and QCriterion without ever having to store the gradient tensor in global memory
55 lines
1.7 KiB
C++
55 lines
1.7 KiB
C++
//============================================================================
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// Copyright (c) Kitware, Inc.
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// All rights reserved.
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// See LICENSE.txt for details.
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// This software is distributed WITHOUT ANY WARRANTY; without even
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// the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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// PURPOSE. See the above copyright notice for more information.
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//
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// Copyright 2014 Sandia Corporation.
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// Copyright 2014 UT-Battelle, LLC.
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// Copyright 2014 Los Alamos National Security.
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//
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// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// the U.S. Government retains certain rights in this software.
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//
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// Under the terms of Contract DE-AC52-06NA25396 with Los Alamos National
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// Laboratory (LANL), the U.S. Government retains certain rights in
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// this software.
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//============================================================================
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#ifndef vtk_m_worklet_gradient_Divergence_h
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#define vtk_m_worklet_gradient_Divergence_h
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#include <vtkm/worklet/WorkletMapField.h>
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namespace vtkm
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{
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namespace worklet
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{
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namespace gradient
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{
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struct DivergenceTypes : vtkm::ListTagBase<vtkm::Vec<vtkm::Vec<vtkm::Float32, 3>, 3>,
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vtkm::Vec<vtkm::Vec<vtkm::Float64, 3>, 3>>
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{
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};
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struct Divergence : public vtkm::worklet::WorkletMapField
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{
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typedef void ControlSignature(FieldIn<DivergenceTypes> input, FieldOut<Scalar> output);
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typedef void ExecutionSignature(_1, _2);
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typedef _1 InputDomain;
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template <typename InputType, typename OutputType>
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VTKM_EXEC void operator()(const InputType& input, OutputType& divergence) const
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{
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divergence = input[0][0] + input[1][1] + input[2][2];
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}
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};
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}
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}
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}
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#endif
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