1 | /*! |
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2 | \file distribution_client.hpp |
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3 | \author Ha NGUYEN |
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4 | \since 13 Jan 2015 |
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5 | \date 09 Mars 2015 |
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6 | |
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7 | \brief Index distribution on client side. |
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8 | */ |
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9 | #ifndef __XIOS_DISTRIBUTIONCLIENT_HPP__ |
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10 | #define __XIOS_DISTRIBUTIONCLIENT_HPP__ |
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11 | |
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12 | #include <distribution.hpp> |
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13 | #include "axis.hpp" |
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14 | #include "domain.hpp" |
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15 | #include "grid.hpp" |
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16 | |
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17 | namespace xios { |
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18 | |
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19 | class CGrid; |
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20 | class CDomain; |
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21 | class CAxis; |
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22 | |
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23 | /*! |
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24 | \class CDistributionClient |
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25 | This class bases on the knowledge of distribution on client side (decided by users) |
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26 | to calculate the global index of its local data. |
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27 | */ |
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28 | class CDistributionClient : public CDistribution |
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29 | { |
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30 | public: |
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31 | /** Default constructor */ |
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32 | CDistributionClient(int rank, int dims, const CArray<size_t,1>& globalIndex = CArray<size_t,1>()); |
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33 | CDistributionClient(int rank, CGrid* grid); |
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34 | |
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35 | /** Default destructor */ |
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36 | virtual ~CDistributionClient(); |
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37 | |
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38 | virtual const std::vector<int>& getLocalDataIndexOnClient() const; |
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39 | virtual const std::vector<int>& getLocalDataIndexSendToServer() const; |
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40 | const std::vector<size_t>& getGlobalDataIndexSendToServer() const; |
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41 | const std::vector<int>& getLocalMaskIndexOnClient() const; |
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42 | |
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43 | std::vector<int> getNGlob() { return nGlob_; } |
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44 | std::vector<int> getDataNIndex() { return dataNIndex_; } |
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45 | |
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46 | bool isDataDistributed() { return isDataDistributed_; } |
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47 | |
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48 | static int getDomainIndex(const int& dataIIndex, const int& dataJIndex, |
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49 | const int& dataIBegin, const int& dataJBegin, |
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50 | const int& dataDim, const int& ni, int& j); |
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51 | static int getAxisIndex(const int& dataIndex, const int& dataBegin, const int& ni); |
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52 | |
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53 | protected: |
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54 | void createGlobalIndex(); |
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55 | void createGlobalIndexSendToServer(); |
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56 | void readDistributionInfo(CGrid* grid); |
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57 | void readDistributionInfo(const std::vector<CDomain*>& domList, |
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58 | const std::vector<CAxis*>& axisList, |
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59 | const CArray<bool,1>& axisDomainOrder); |
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60 | void readDomainIndex(const std::vector<CDomain*>& domList); |
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61 | void readAxisIndex(const std::vector<CAxis*>& axisList); |
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62 | private: |
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63 | //! Create local index of a domain |
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64 | void createLocalDomainDataIndex(); |
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65 | |
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66 | //! Create local index of an axis |
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67 | void createLocalAxisDataIndex(); |
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68 | |
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69 | template<int N> |
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70 | void readGridMaskInfo(const CArray<bool,N>& gridMask); |
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71 | |
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72 | private: |
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73 | //!< LocalData index on client |
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74 | std::vector<size_t> globalDataSendToServer_; |
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75 | std::vector<int> localDataIndex_; |
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76 | std::vector<int> localDataIndexSendToServer_; |
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77 | std::vector<int> localMaskIndex_; |
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78 | |
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79 | private: |
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80 | /*! Domains and axis are considered elements. |
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81 | * A grid composed of 1 domain and 1 axis has 2 elements */ |
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82 | int numElement_; |
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83 | CArray<bool,1> axisDomainOrder_; //!< Order of axis and domain of a grid |
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84 | |
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85 | std::vector<int> nLocal_; //!< Local size of each dimension (ni, nj, etc, ...) |
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86 | std::vector<int> nGlob_; //!< Global size of each dimension (e.x: ni_glo, nj_glo, etc, ...) |
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87 | std::vector<int> nBeginLocal_;//!< Begin index of each dimension (e.x: for domain, it's always 0, for axis, it's zoom_begin, ...) |
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88 | std::vector<int> nBeginGlobal_; //!< Begin index of each dimension (e.x: ibegin, jbegin, ...) |
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89 | std::vector<int> nZoomBegin_; //!< Begin index of zoom of each dimension |
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90 | std::vector<int> nZoomEnd_; //!< End index of zoom of each dimension |
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91 | std::vector<std::vector<CArray<int,1> > > nIndexDomain_; //!< Local index of each domain dimension (e.x: i_index, j_index) |
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92 | std::vector<CArray<int,1> > nIndexAxis_; |
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93 | |
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94 | // Data_n_index of domain or axis (For now, axis uses its size as data_n_index |
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95 | std::vector<int> dataNIndex_; //!< Data_n_index in case of domain |
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96 | std::vector<int> dataDims_; //!< Data_dim, domain can have data_dim == 1 or 2 |
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97 | std::vector<int> dataBegin_; //!< Data begin (data_ibegin, data_jbegin, etc) |
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98 | std::vector<CArray<int,1> > dataIndex_; //!< Data index |
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99 | |
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100 | std::vector<CArray<bool,1> > domainMasks_; //!< Domain mask |
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101 | std::vector<CArray<bool,1> > axisMasks_; //!< Axis mask |
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102 | |
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103 | std::vector<std::vector<int> > localDomainIndex_; |
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104 | std::vector<std::vector<int> > localAxisIndex_; |
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105 | std::vector<int> indexMap_; //!< Mapping element index to dimension index |
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106 | |
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107 | // The correct index of a domain has true value, the ghost one has false value |
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108 | std::vector<std::vector<bool> > indexDomainData_; |
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109 | std::vector<std::vector<bool> > indexAxisData_; |
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110 | |
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111 | //!< (Only for grid with one axis or scalar)Flag to determine whether data is distributed or not |
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112 | bool isDataDistributed_; |
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113 | int axisNum_; |
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114 | int domainNum_; |
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115 | |
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116 | private: |
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117 | // Just suppose that grid mask has 3 dimension. Need change |
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118 | CArray<bool,1> gridMask_; //!< Mask of grid |
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119 | |
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120 | private: |
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121 | CDistributionClient(const CDistributionClient& distClient); //! Not implement |
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122 | }; |
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123 | |
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124 | /*! |
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125 | A grid can have multiple dimension, so can its mask in the form of multi-dimension array. |
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126 | It's not a good idea to store all multi-dimension arrays corresponding to each mask. |
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127 | One of the ways is to convert this array into 1-dimension one and every process is taken place on it. |
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128 | \param [in] multi-dimension array grid mask |
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129 | */ |
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130 | template<int N> |
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131 | void CDistributionClient::readGridMaskInfo(const CArray<bool,N>& gridMask) |
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132 | { |
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133 | int dim = gridMask.dimensions(); |
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134 | std::vector<int> dimensionSizes(dim); |
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135 | for (int i = 0; i < dim; ++i) dimensionSizes[i] = gridMask.extent(i); |
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136 | |
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137 | std::vector<int> idxLoop(dim,0); |
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138 | int ssize = gridMask.numElements(), idx = 0; |
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139 | gridMask_.resize(ssize); |
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140 | while (idx < ssize) |
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141 | { |
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142 | for (int i = 0; i < dim-1; ++i) |
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143 | { |
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144 | if (idxLoop[i] == dimensionSizes[i]) |
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145 | { |
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146 | idxLoop[i] = 0; |
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147 | ++idxLoop[i+1]; |
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148 | } |
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149 | } |
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150 | |
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151 | int maskIndex = idxLoop[0]; |
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152 | int mulDim = 1; |
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153 | for (int k = 1; k < dim; ++k) |
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154 | { |
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155 | mulDim *= dimensionSizes[k-1]; |
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156 | maskIndex += idxLoop[k]*mulDim; |
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157 | } |
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158 | gridMask_(maskIndex) = *(gridMask.dataFirst()+maskIndex); |
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159 | |
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160 | ++idxLoop[0]; |
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161 | ++idx; |
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162 | } |
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163 | } |
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164 | |
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165 | |
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166 | } // namespace xios |
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167 | #endif // __XIOS_DISTRIBUTIONCLIENT_HPP__ |
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