mirror of
https://gitlab.kitware.com/vtk/vtk-m
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164 lines
7.0 KiB
C++
164 lines
7.0 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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//
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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 (c) 2018, The Regents of the University of California, through
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// Lawrence Berkeley National Laboratory (subject to receipt of any required approvals
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// from the U.S. Dept. of Energy). All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// (1) Redistributions of source code must retain the above copyright notice, this
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// list of conditions and the following disclaimer.
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//
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// (2) Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// (3) Neither the name of the University of California, Lawrence Berkeley National
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// Laboratory, U.S. Dept. of Energy nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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// IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
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// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
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// OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
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// OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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//=============================================================================
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//
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// This code is an extension of the algorithm presented in the paper:
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// Parallel Peak Pruning for Scalable SMP Contour Tree Computation.
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// Hamish Carr, Gunther Weber, Christopher Sewell, and James Ahrens.
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// Proceedings of the IEEE Symposium on Large Data Analysis and Visualization
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// (LDAV), October 2016, Baltimore, Maryland.
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//
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// The PPP2 algorithm and software were jointly developed by
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// Hamish Carr (University of Leeds), Gunther H. Weber (LBNL), and
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// Oliver Ruebel (LBNL)
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//==============================================================================
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#ifndef vtk_m_worklet_contourtree_distributed_combinehypersweepblockfunctor_h
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#define vtk_m_worklet_contourtree_distributed_combinehypersweepblockfunctor_h
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#include <vtkm/Types.h>
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#include <vtkm/cont/ArrayHandle.h>
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#include <vtkm/worklet/contourtree_distributed/HyperSweepBlock.h>
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// clang-format off
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VTKM_THIRDPARTY_PRE_INCLUDE
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#include <vtkm/thirdparty/diy/diy.h>
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VTKM_THIRDPARTY_POST_INCLUDE
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// clang-format on
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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 contourtree_distributed
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{
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template <typename ContourTreeDataFieldType>
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struct CobmineHyperSweepBlockFunctor
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{
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void operator()(
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vtkm::worklet::contourtree_distributed::HyperSweepBlock<ContourTreeDataFieldType>* b,
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const vtkmdiy::ReduceProxy& rp, // communication proxy
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const vtkmdiy::RegularSwapPartners& // partners of the current block (unused)
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) const
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{
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// Get our rank and DIY id
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//const vtkm::Id rank = vtkm::cont::EnvironmentTracker::GetCommunicator().rank();
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const auto selfid = rp.gid();
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std::vector<int> incoming;
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rp.incoming(incoming);
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for (const int ingid : incoming)
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{
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std::cout << rp.round() << std::endl;
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auto roundNo = rp.round() - 1;
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// NOTE/IMPORTANT: In each round we should have only one swap partner (despite for-loop here).
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// If that assumption does not hold, it will break things.
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// NOTE/IMPORTANT: This assumption only holds if the number of blocks is a power of two.
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// Otherwise, we may need to process more than one incoming block
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if (ingid != selfid)
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{
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vtkm::Id incomingBlockNo;
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rp.dequeue(ingid, incomingBlockNo);
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// std::cout << "Combining block " << b->BlockNo << " with " << incomingBlockNo << std::endl;
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vtkm::cont::ArrayHandle<vtkm::Id> incomingIntrinsicVolume;
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rp.dequeue(ingid, incomingIntrinsicVolume);
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vtkm::cont::ArrayHandle<vtkm::Id> incomingDependentVolume;
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rp.dequeue(ingid, incomingDependentVolume);
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// TODO/FIXME: Replace with something more efficient
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vtkm::Id numSupernodesToProcess =
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b->HierarchicalContourTree.FirstSupernodePerIteration[roundNo].ReadPortal().Get(0);
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/*
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std::cout << "Block " << b->BlockNo << " Round " << roundNo << ": " << numSupernodesToProcess << " entries to process" << std::endl;
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vtkm::worklet::contourtree_augmented::PrintIndices(
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"Intrinsic Volume (B)", b->IntrinsicVolume, -1, std::cout);
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vtkm::worklet::contourtree_augmented::PrintIndices(
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"Dependent Volume (B)", b->DependentVolume, -1, std::cout);
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*/
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auto intrinsicVolumeView =
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make_ArrayHandleView(b->IntrinsicVolume, 0, numSupernodesToProcess);
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auto incomingIntrinsicVolumeView =
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make_ArrayHandleView(incomingIntrinsicVolume, 0, numSupernodesToProcess);
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vtkm::cont::ArrayHandle<vtkm::Id> tempSum;
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vtkm::cont::Algorithm::Transform(
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intrinsicVolumeView, incomingIntrinsicVolumeView, tempSum, vtkm::Sum());
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vtkm::cont::Algorithm::Copy(tempSum, intrinsicVolumeView);
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auto dependentVolumeView =
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make_ArrayHandleView(b->DependentVolume, 0, numSupernodesToProcess);
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auto incomingDependentVolumeView =
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make_ArrayHandleView(incomingDependentVolume, 0, numSupernodesToProcess);
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vtkm::cont::Algorithm::Transform(
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dependentVolumeView, incomingDependentVolumeView, tempSum, vtkm::Sum());
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vtkm::cont::Algorithm::Copy(tempSum, dependentVolumeView);
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/*
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vtkm::worklet::contourtree_augmented::PrintIndices(
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"Intrinsic Volume (A)", b->IntrinsicVolume, -1, std::cout);
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vtkm::worklet::contourtree_augmented::PrintIndices(
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"Dependent Volume (A)", b->DependentVolume, -1, std::cout);
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*/
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}
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}
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for (int cc = 0; cc < rp.out_link().size(); ++cc)
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{
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auto target = rp.out_link().target(cc);
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if (target.gid != selfid)
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{
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rp.enqueue(target, b->BlockNo);
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rp.enqueue(target, b->IntrinsicVolume);
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rp.enqueue(target, b->DependentVolume);
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}
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}
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}
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};
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} // namespace contourtree_distributed
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} // namespace worklet
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} // namespace vtkm
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#endif
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