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parallel-processing - 从多个 MPI 输出组合 VTK 文件

转载 作者:行者123 更新时间:2023-12-04 15:22:31 24 4
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对于盖驱动腔 (CFD) 的格子 Boltzmann 模拟,我将我的立方域分解为(也是立方)8 个子域,这些子域由 8 个等级独立计算。每个 MPI 等级都会为每个时间步生成一个 VTK 文件,因为我使用的是 ParaView,所以我想将整个事物可视化为一个立方体。更具体地说明我想要实现的目标:

  • 我有一个长度为 8 的立方体(每个方向的元素数)=> 8x8x8 = 512 个元素。
  • 每个维度分布到 2 个等级,即每个等级处理 4x4x4 = 64 个元素。
  • 每个等级将其结果写入名为 lbm_out_<rank>.<timestep>.vts 的文件中在 VTK 中 StructuredGrid格式。
  • 我想生产一个 .pvts收集 *.vts 的文件文件并将包含子域的文件合并为一个单独的文件,ParaView 可以将其视为整个域。

  • 不幸的是,我面临着很多问题,因为我觉得 ParaView 和 VTK 的记录非常糟糕,而且来自 ParaView 的错误消息完全没有用。

    我有以下 *.pvts文件,其中包括一个幽灵层和:
    <?xml version="1.0"?>
    <VTKFile type="PStructuredGrid" version="0.1" byte_order="LittleEndian">
    <PStructuredGrid WholeExtent="0 7 0 7 0 7 " GhostLevel="1">
    <PPoints>
    <PDataArray NumberOfComponents="3" type="Float32" />
    </PPoints>
    <Piece Extent="0 4 0 4 0 4" Source="lbm_out_0.0.vts"/>
    <Piece Extent="3 7 0 4 0 4" Source="lbm_out_1.0.vts"/>
    <Piece Extent="0 4 3 7 0 4" Source="lbm_out_2.0.vts"/>
    <Piece Extent="3 7 3 7 0 4" Source="lbm_out_3.0.vts"/>
    <Piece Extent="0 4 0 4 3 7" Source="lbm_out_4.0.vts"/>
    <Piece Extent="3 7 0 4 3 7" Source="lbm_out_5.0.vts"/>
    <Piece Extent="0 4 3 7 3 7" Source="lbm_out_6.0.vts"/>
    <Piece Extent="3 7 3 7 3 7" Source="lbm_out_7.0.vts"/>
    </PStructuredGrid>
    </VTKFile>

    有了那个我觉得应该可以正常工作的文件(请注意,还没有参数,只有简单的几何信息),我的域范围完全困惑,尽管每个 *.vts文件本身工作正常。我附上了一张截图,让事情更清楚:
    Note how the bounds are totally out of range.

    可能是什么问题?是否可以将旧版 VTK 文件用于此任务?我可能做错了什么吗?我真的不知道如何完成这项任务,而且我在 google 中找到的资源非常有限。谢谢你。

    最佳答案

    不幸的是,没有 vtkXMLPStructuredGridWriter 的例子类( VTK Classes not used in the Examples )。所以我决定编写最简单的代码来为结构化网格生成 *.vts 和 .pvts 文件,与您正在寻找的情况非常相似。

    以下代码使用 MPI 和 VTK 编写并行结构化网格文件。在此示例中,我们有两个进程创建自己的 .vts 文件,并且 vtkXMLPStructuredGridWriter 类写入 .pvts 文件:

    // MPI Library
    #include <mpi.h>

    //VTK Library
    #include <vtkXMLPStructuredGridWriter.h>
    #include <vtkStructuredGrid.h>
    #include <vtkSmartPointer.h>
    #include <vtkFloatArray.h>
    #include <vtkCellData.h>
    #include <vtkMPIController.h>
    #include <vtkProgrammableFilter.h>
    #include <vtkInformation.h>

    struct Args {
    vtkProgrammableFilter* pf;
    int local_extent[6];
    };

    // function to operate on the point attribute data
    void execute (void* arg) {
    Args* args = reinterpret_cast<Args*>(arg);
    auto info = args->pf->GetOutputInformation(0);
    auto output_tmp = args->pf->GetOutput();
    auto input_tmp = args->pf->GetInput();
    vtkStructuredGrid* output = dynamic_cast<vtkStructuredGrid*>(output_tmp);
    vtkStructuredGrid* input = dynamic_cast<vtkStructuredGrid*>(input_tmp);
    output->ShallowCopy(input);
    output->SetExtent(args->local_extent);
    }

    int main (int argc, char *argv[]) {
    MPI_Init (&argc, &argv);
    int myrank;
    MPI_Comm_rank (MPI_COMM_WORLD, &myrank);

    int lx {10}, ly{10}, lz{10}; //local dimensions of the process's grid
    int dims[3] = {lx+1, ly+1, lz+1};
    int global_extent[6] = {0, 2*lx, 0, ly, 0, lz};
    int local_extent[6] = {myrank*lx, (myrank+1)*lx, 0, ly, 0, lz};

    // Create and Initialize vtkMPIController
    auto contr = vtkSmartPointer<vtkMPIController>::New();
    contr->Initialize(&argc, &argv, 1);
    int nranks = contr->GetNumberOfProcesses();
    int rank = contr->GetLocalProcessId();

    // Create grid points, allocate memory and Insert them
    auto points = vtkSmartPointer<vtkPoints>::New();
    points->Allocate(dims[0]*dims[1]*dims[2]);
    for (int k=0; k<dims[2]; ++k)
    for (int j=0; j<dims[1]; ++j)
    for (int i=0; i<dims[0]; ++i)
    points->InsertPoint(i + j*dims[0] + k*dims[0]*dims[1],
    i+rank*(dims[0]-1), j, k);

    // Create a density field. Note that the number of cells is always less than
    // number of grid points by an amount of one so we use dims[i]-1
    auto density = vtkSmartPointer<vtkFloatArray>::New();
    density->SetNumberOfComponents(1);
    density->SetNumberOfTuples((dims[0]-1)*(dims[1]-1)*(dims[2]-1));
    density->SetName ("density");
    int index;
    for (int k=0; k<lz; ++k)
    for (int j=0; j<ly; ++j)
    for (int i=0; i<lx; ++i) {
    index = i + j*(dims[0]-1) + k*(dims[0]-1)*(dims[1]-1);
    density->SetValue(index, i+j+k);
    }

    // Create a vtkProgrammableFilter
    auto pf = vtkSmartPointer<vtkProgrammableFilter>::New();

    // Initialize an instance of Args
    Args args;
    args.pf = pf;
    for(int i=0; i<6; ++i) args.local_extent[i] = local_extent[i];

    pf->SetExecuteMethod(execute, &args);

    // Create a structured grid and assign point data and cell data to it
    auto structuredGrid = vtkSmartPointer<vtkStructuredGrid>::New();
    structuredGrid->SetExtent(global_extent);
    pf->SetInputData(structuredGrid);
    structuredGrid->SetPoints(points);
    structuredGrid->GetCellData()->AddArray(density);

    // Create the parallel writer and call some functions
    auto parallel_writer = vtkSmartPointer<vtkXMLPStructuredGridWriter>::New();
    parallel_writer->SetInputConnection(pf->GetOutputPort());
    parallel_writer->SetController(contr);
    parallel_writer->SetFileName("test.pvts");
    parallel_writer->SetNumberOfPieces(nranks);
    parallel_writer->SetStartPiece(rank);
    parallel_writer->SetEndPiece(rank);
    parallel_writer->SetDataModeToBinary();
    parallel_writer->Update();
    parallel_writer->Write();

    contr->Finalize();

    // WARNING: it seems that MPI_Finalize is not necessary since we are using
    // Finalize() function from vtkMPIController class. Uncomment the following
    // line and see what happens.
    // MPI_Finalize ();
    return 0;
    }

    此代码仅将一些数据(在本例中为标量的密度)写入文件,而不会呈现它。对于可视化,您将需要像 Paraview 这样的软件。
    要运行此代码,您可以使用此 CMake 文件:
    cmake_minimum_required(VERSION 2.8)

    PROJECT(PXMLStructuredGridWriter)
    add_executable(PXMLStructuredGridWriter parallel_vtk.cpp)

    find_package(VTK REQUIRED)
    include(${VTK_USE_FILE})
    target_link_libraries(PXMLStructuredGridWriter ${VTK_LIBRARIES})

    find_package(MPI REQUIRED)
    include_directories(${MPI_INCLUDE_PATH})
    target_link_libraries(PXMLStructuredGridWriter ${MPI_LIBRARIES})

    最后,您将在可执行文件所在的同一目录中找到一个像这样的 xml 文件:

    <?xml version="1.0"?>
    <VTKFile type="PStructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
    <PStructuredGrid WholeExtent="0 20 0 10 0 10" GhostLevel="2">
    <PCellData>
    <PDataArray type="Float32" Name="density"/>
    </PCellData>
    <PPoints>
    <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
    </PPoints>
    <Piece Extent="0 10 0 10 0 10" Source="test_0.vts"/>
    <Piece Extent="10 20 0 10 0 10" Source="test_1.vts"/>
    </PStructuredGrid>
    </VTKFile>

    关于parallel-processing - 从多个 MPI 输出组合 VTK 文件,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/24123432/

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