ComputeMeshBoundaryContourTreeMesh.h

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//============================================================================
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//
//  This software is distributed WITHOUT ANY WARRANTY; without even
//  the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
//  PURPOSE.  See the above copyright notice for more information.
//============================================================================
// Copyright (c) 2018, The Regents of the University of California, through
// Lawrence Berkeley National Laboratory (subject to receipt of any required approvals
// from the U.S. Dept. of Energy).  All rights reserved.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// (1) Redistributions of source code must retain the above copyright notice, this
//     list of conditions and the following disclaimer.
//
// (2) Redistributions in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
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// (3) Neither the name of the University of California, Lawrence Berkeley National
//     Laboratory, U.S. Dept. of Energy nor the names of its contributors may be
//     used to endorse or promote products derived from this software without
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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//=============================================================================
//
//  This code is an extension of the algorithm presented in the paper:
//  Parallel Peak Pruning for Scalable SMP Contour Tree Computation.
//  Hamish Carr, Gunther Weber, Christopher Sewell, and James Ahrens.
//  Proceedings of the IEEE Symposium on Large Data Analysis and Visualization
//  (LDAV), October 2016, Baltimore, Maryland.
//
//  The PPP2 algorithm and software were jointly developed by
//  Hamish Carr (University of Leeds), Gunther H. Weber (LBNL), and
//  Oliver Ruebel (LBNL)
//==============================================================================
 
#ifndef vtk_m_worklet_contourtree_augmented_mesh_dem_mesh_types_mesh_boundary_compute_mesh_boundary_contour_tree_mesh_h
#define vtk_m_worklet_contourtree_augmented_mesh_dem_mesh_types_mesh_boundary_compute_mesh_boundary_contour_tree_mesh_h
 
#include <vtkm/filter/scalar_topology/worklet/contourtree_augmented/Types.h>
#include <vtkm/worklet/WorkletMapField.h>
 
namespace vtkm
{
namespace worklet
{
namespace contourtree_augmented
{
 
// Worklet to collapse past regular vertices by updating inbound and outbound as part
// loop to find the now-regular vertices and collapse past them without altering
// the existing join & split arcs
class ComputeMeshBoundaryContourTreeMesh : public vtkm::worklet::WorkletMapField
{
public:
  typedef void ControlSignature(FieldIn nodeIndex,       // (input)
                                ExecObject meshBoundary, // (input)
                                FieldOut isOnBoundary    // (output)
  );
  typedef void ExecutionSignature(_1, _2, _3);
  using InputDomain = _1;
 
 
  // Default Constructor
  VTKM_EXEC_CONT
  ComputeMeshBoundaryContourTreeMesh() {}
 
  template <typename MeshBoundaryType>
  VTKM_EXEC void operator()(const vtkm::Id& nodeIndex,
                            const MeshBoundaryType& meshBoundary,
                            bool& isOnBoundary) const
  {
    isOnBoundary = meshBoundary.LiesOnBoundary(nodeIndex);
    /*
    indexVector isOnBoundary(globalMeshIndex.size());
    for (indexType node = 0; node < globalMeshIndex.size(); node++)
      isOnBoundary[node] = liesOnBoundary(node);
    */
  }
 
}; // ComputeMeshBoundaryContourTreeMesh
 
} // namespace contourtree_augmented
} // namespace worklet
} // namespace vtkm
 
#endif