1 | /*! |
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2 | \file distribution_client.cpp |
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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 | #include "distribution_client.hpp" |
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10 | |
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11 | namespace xios { |
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12 | |
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13 | CDistributionClient::CDistributionClient(int rank, int dims, CArray<size_t,1>* globalIndex) |
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14 | : CDistribution(rank, dims, globalIndex), |
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15 | localDataIndex_(0), axisDomainOrder_(), |
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16 | nLocal_(), nGlob_(), nBeginLocal_(), nBeginGlobal_(),nZoomBegin_(), nZoomEnd_(), |
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17 | dataNIndex_(), dataDims_(), dataBegin_(), dataIndex_(), domainMasks_(), axisMasks_(), |
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18 | gridMask_(), localDomainIndex_(), localAxisIndex_(), indexMap_(), indexDomainData_(), indexAxisData_(), |
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19 | isDataDistributed_(true), axisNum_(0), domainNum_(0), localDataIndexSendToServer_(0), nIndexDomain_(), nIndexAxis_() |
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20 | { |
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21 | } |
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22 | |
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23 | CDistributionClient::CDistributionClient(int rank, CGrid* grid) |
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24 | : CDistribution(rank, 0, 0), |
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25 | localDataIndex_(0), axisDomainOrder_(), |
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26 | nLocal_(), nGlob_(), nBeginLocal_(), nBeginGlobal_(),nZoomBegin_(), nZoomEnd_(), |
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27 | dataNIndex_(), dataDims_(), dataBegin_(), dataIndex_(), domainMasks_(), axisMasks_(), |
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28 | gridMask_(), localDomainIndex_(), localAxisIndex_(), indexMap_(), indexDomainData_(), indexAxisData_(), |
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29 | isDataDistributed_(true), axisNum_(0), domainNum_(0), localDataIndexSendToServer_(0), nIndexDomain_(), nIndexAxis_() |
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30 | { |
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31 | readDistributionInfo(grid); |
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32 | createGlobalIndex(); |
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33 | createGlobalIndexSendToServer(); |
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34 | } |
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35 | |
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36 | CDistributionClient::~CDistributionClient() |
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37 | { |
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38 | if (0 != globalDataSendToServer_) delete globalDataSendToServer_; |
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39 | if (0 != localDataIndex_) delete localDataIndex_; |
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40 | if (0 != localDataIndexSendToServer_) delete localDataIndexSendToServer_; |
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41 | } |
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42 | |
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43 | /*! |
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44 | Read information of a grid to generate distribution. |
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45 | Every grid is composed of several axis or/and domain(s). Their information are processed |
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46 | stored and used to calculate index distribution between client and server |
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47 | \param [in] grid Grid to read |
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48 | */ |
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49 | void CDistributionClient::readDistributionInfo(CGrid* grid) |
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50 | { |
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51 | std::vector<CDomain*> domList = grid->getDomains(); |
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52 | std::vector<CAxis*> axisList = grid->getAxis(); |
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53 | CArray<bool,1> axisDomainOrder = grid->axis_domain_order; |
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54 | |
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55 | std::vector<CDomain*>::iterator itbDom, iteDom, itDom; |
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56 | std::vector<CAxis*>::iterator itbAxis, iteAxis, itAxis; |
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57 | |
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58 | itbDom = itDom = domList.begin(); iteDom = domList.end(); |
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59 | itbAxis = itAxis = axisList.begin(); iteAxis = axisList.end(); |
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60 | |
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61 | readDistributionInfo(domList, axisList, axisDomainOrder); |
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62 | |
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63 | // Then check mask of grid |
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64 | int gridDim = domList.size()*2 + axisList.size(); |
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65 | grid->checkMask(); |
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66 | switch (gridDim) { |
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67 | case 1: |
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68 | readGridMaskInfo(grid->mask1); |
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69 | break; |
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70 | case 2: |
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71 | readGridMaskInfo(grid->mask2); |
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72 | break; |
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73 | case 3: |
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74 | readGridMaskInfo(grid->mask3); |
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75 | break; |
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76 | default: |
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77 | break; |
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78 | } |
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79 | } |
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80 | |
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81 | void CDistributionClient::readDomainIndex(const std::vector<CDomain*>& domList) |
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82 | { |
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83 | int domainSize = domList.size(); |
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84 | nIndexDomain_.resize(domainSize); |
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85 | |
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86 | for (int k = 0; k < domainSize; ++k) |
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87 | { |
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88 | nIndexDomain_[k].resize(2); |
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89 | int ni = domList[k]->ni; |
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90 | int nj = domList[k]->nj; |
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91 | nIndexDomain_[k][0].resize(ni,nj); |
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92 | nIndexDomain_[k][1].resize(ni,nj); |
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93 | nIndexDomain_[k][0] = domList[k]->i_index; |
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94 | nIndexDomain_[k][1] = domList[k]->j_index; |
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95 | } |
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96 | } |
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97 | |
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98 | void CDistributionClient::readAxisIndex(const std::vector<CAxis*>& axisList) |
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99 | { |
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100 | int axisSize = axisList.size(); |
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101 | nIndexAxis_.resize(axisSize); |
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102 | |
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103 | for (int k = 0; k < axisSize; ++k) |
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104 | { |
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105 | int n = axisList[k]->ni; |
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106 | nIndexAxis_[k].resize(n); |
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107 | for (int i = 0; i < n; ++i) |
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108 | nIndexAxis_[k](i) = i; |
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109 | } |
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110 | } |
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111 | |
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112 | /*! |
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113 | Read information from domain(s) and axis to generate distribution. |
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114 | All information related to domain, e.g ibegin, jbegin, ni, nj, ni_glo, nj_glo |
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115 | as well as related to axis, e.g dataNIndex, dataIndex will be stored to compute |
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116 | the distribution between clients and servers. Till now, every data structure of domain has been kept |
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117 | like before, e.g: data_n_index to make sure a compability, however, it should be changed? |
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118 | \param [in] domList List of domains of grid |
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119 | \param [in] axisList List of axis of grid |
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120 | \param [in] axisDomainOrder order of axis and domain inside a grid. True if domain, false if axis |
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121 | // \param [in] gridMask Mask of grid, for now, keep it 3 dimension, but it needs changing |
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122 | */ |
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123 | void CDistributionClient::readDistributionInfo(const std::vector<CDomain*>& domList, |
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124 | const std::vector<CAxis*>& axisList, |
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125 | const CArray<bool,1>& axisDomainOrder) |
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126 | { |
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127 | domainNum_ = domList.size(); |
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128 | axisNum_ = axisList.size(); |
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129 | numElement_ = axisDomainOrder.numElements(); // Number of element, e.x: Axis, Domain |
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130 | |
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131 | axisDomainOrder_.resize(numElement_); |
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132 | axisDomainOrder_ = axisDomainOrder; |
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133 | |
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134 | // Each domain or axis has its mask, of course |
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135 | domainMasks_.resize(domainNum_); |
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136 | for (int i = 0; i < domainNum_;++i) |
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137 | { |
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138 | domainMasks_[i].resize(domList[i]->mask.extent(0), domList[i]->mask.extent(1)); |
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139 | domainMasks_[i] = domList[i]->mask; |
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140 | } |
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141 | |
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142 | axisMasks_.resize(axisNum_); |
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143 | for (int i = 0; i < axisNum_; ++i) |
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144 | { |
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145 | axisMasks_[i].resize(axisList[i]->mask.numElements()); |
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146 | axisMasks_[i] = axisList[i]->mask; |
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147 | } |
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148 | |
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149 | // Because domain and axis can be in any order (axis1, domain1, axis2, axis3, ) |
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150 | // their position should be specified. In axisDomainOrder, domain == true, axis == false |
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151 | int idx = 0; |
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152 | indexMap_.resize(numElement_); |
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153 | this->dims_ = numElement_; |
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154 | for (int i = 0; i < numElement_; ++i) |
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155 | { |
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156 | indexMap_[i] = idx; |
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157 | if (true == axisDomainOrder(i)) |
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158 | { |
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159 | ++(this->dims_); |
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160 | idx += 2; |
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161 | } |
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162 | else ++idx; |
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163 | } |
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164 | |
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165 | // Size of each dimension (local and global) |
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166 | nLocal_.resize(this->dims_); |
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167 | nGlob_.resize(this->dims_); |
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168 | nBeginLocal_.resize(this->dims_,0); |
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169 | nBeginGlobal_.resize(this->dims_,0); |
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170 | nZoomBegin_.resize(this->dims_); |
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171 | nZoomEnd_.resize(this->dims_); |
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172 | |
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173 | // Data_n_index of domain or axis (For now, axis uses its size as data_n_index |
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174 | dataNIndex_.resize(numElement_); |
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175 | dataDims_.resize(numElement_); |
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176 | dataBegin_.resize(this->dims_); |
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177 | |
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178 | // Data_*_index of each dimension |
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179 | dataIndex_.resize(this->dims_); |
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180 | |
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181 | // A trick to determine position of each domain in domainList |
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182 | int domIndex = 0, axisIndex = 0; |
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183 | idx = 0; |
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184 | |
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185 | isDataDistributed_ = false; |
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186 | // Update all the vectors above |
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187 | while (idx < numElement_) |
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188 | { |
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189 | bool isDomain = axisDomainOrder(idx); |
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190 | |
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191 | // If this is a domain |
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192 | if (isDomain) |
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193 | { |
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194 | // On the j axis |
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195 | nLocal_.at(indexMap_[idx]+1) = domList[domIndex]->nj.getValue(); |
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196 | nGlob_.at(indexMap_[idx]+1) = domList[domIndex]->nj_glo.getValue(); |
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197 | nBeginLocal_.at(indexMap_[idx]+1) = 0; |
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198 | nBeginGlobal_.at(indexMap_[idx]+1) = domList[domIndex]->jbegin; |
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199 | nZoomBegin_.at((indexMap_[idx]+1)) = domList[domIndex]->zoom_jbegin; |
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200 | nZoomEnd_.at((indexMap_[idx]+1)) = domList[domIndex]->zoom_jbegin + domList[domIndex]->zoom_nj-1; |
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201 | |
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202 | dataBegin_.at(indexMap_[idx]+1) = (2 == domList[domIndex]->data_dim) ? domList[domIndex]->data_jbegin.getValue() : -1; |
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203 | dataIndex_.at(indexMap_[idx]+1).resize(domList[domIndex]->data_j_index.numElements()); |
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204 | dataIndex_.at(indexMap_[idx]+1) = domList[domIndex]->data_j_index; |
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205 | |
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206 | // On the i axis |
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207 | nLocal_.at(indexMap_[idx]) = domList[domIndex]->ni.getValue(); |
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208 | nGlob_.at(indexMap_[idx]) = domList[domIndex]->ni_glo.getValue(); |
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209 | nBeginLocal_.at(indexMap_[idx]) = 0; |
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210 | nBeginGlobal_.at(indexMap_[idx]) = domList[domIndex]->ibegin; |
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211 | nZoomBegin_.at((indexMap_[idx])) = domList[domIndex]->zoom_ibegin; |
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212 | nZoomEnd_.at((indexMap_[idx])) = domList[domIndex]->zoom_ibegin + domList[domIndex]->zoom_ni-1; |
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213 | |
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214 | dataBegin_.at(indexMap_[idx]) = domList[domIndex]->data_ibegin.getValue(); |
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215 | dataIndex_.at(indexMap_[idx]).resize(domList[domIndex]->data_i_index.numElements()); |
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216 | dataIndex_.at(indexMap_[idx]) = domList[domIndex]->data_i_index; |
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217 | |
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218 | dataNIndex_.at(idx) = domList[domIndex]->data_n_index.getValue(); |
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219 | dataDims_.at(idx) = domList[domIndex]->data_dim.getValue(); |
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220 | |
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221 | isDataDistributed_ |= domList[domIndex]->isDistributed(); |
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222 | |
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223 | ++domIndex; |
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224 | } |
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225 | else // So it's an axis |
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226 | { |
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227 | nLocal_.at(indexMap_[idx]) = axisList[axisIndex]->ni.getValue(); |
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228 | nGlob_.at(indexMap_[idx]) = axisList[axisIndex]->size.getValue(); |
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229 | nBeginLocal_.at(indexMap_[idx]) = 0; |
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230 | nBeginGlobal_.at(indexMap_[idx]) = axisList[axisIndex]->ibegin.getValue(); |
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231 | nZoomBegin_.at((indexMap_[idx])) = axisList[axisIndex]->zoom_begin; |
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232 | nZoomEnd_.at((indexMap_[idx])) = axisList[axisIndex]->zoom_begin + axisList[axisIndex]->zoom_size-1; |
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233 | |
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234 | dataBegin_.at(indexMap_[idx]) = axisList[axisIndex]->data_begin.getValue(); |
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235 | dataIndex_.at(indexMap_[idx]).resize(axisList[axisIndex]->data_index.numElements()); |
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236 | dataIndex_.at(indexMap_[idx]) = axisList[axisIndex]->data_index; |
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237 | dataNIndex_.at(idx) = axisList[axisIndex]->data_index.numElements(); |
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238 | dataDims_.at(idx) = 1; |
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239 | |
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240 | isDataDistributed_ |= axisList[axisIndex]->isDistributed(); |
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241 | |
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242 | ++axisIndex; |
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243 | } |
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244 | ++idx; |
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245 | } |
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246 | readDomainIndex(domList); |
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247 | readAxisIndex(axisList); |
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248 | } |
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249 | |
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250 | /*! |
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251 | Create local index of domain(s). |
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252 | A domain can have data index which even contains the "ghost" points. Very often, these |
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253 | data surround the true data. In order to send correct data to server, |
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254 | a client need to know index of the true data. |
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255 | */ |
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256 | void CDistributionClient::createLocalDomainDataIndex() |
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257 | { |
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258 | int numDomain = 0; |
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259 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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260 | if (axisDomainOrder_(i)) ++numDomain; |
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261 | |
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262 | localDomainIndex_.resize(numDomain*2); |
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263 | indexDomainData_.resize(numDomain); |
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264 | |
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265 | int idxDomain = 0; |
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266 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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267 | { |
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268 | if (axisDomainOrder_(i)) |
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269 | { |
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270 | int iIdx, jIdx = 0, count = 0; |
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271 | indexDomainData_[idxDomain].resize(dataNIndex_[i], false); |
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272 | for (int j = 0; j < dataNIndex_[i]; ++j) |
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273 | { |
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274 | iIdx = getDomainIndex(dataIndex_[indexMap_[i]](j), dataIndex_[indexMap_[i]+1](j), |
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275 | dataBegin_[indexMap_[i]], dataBegin_[indexMap_[i]+1], |
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276 | dataDims_[i], nLocal_[indexMap_[i]], jIdx); |
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277 | |
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278 | if ((iIdx >= nBeginLocal_[indexMap_[i]]) && (iIdx < nLocal_[indexMap_[i]]) && |
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279 | (jIdx >= nBeginLocal_[indexMap_[i]+1]) && (jIdx < nLocal_[indexMap_[i]+1]) && |
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280 | (domainMasks_[idxDomain](iIdx, jIdx))) |
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281 | { |
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282 | (localDomainIndex_[idxDomain]).push_back(iIdx); |
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283 | (localDomainIndex_[idxDomain*2+1]).push_back(jIdx); |
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284 | indexDomainData_[idxDomain][j] = true; |
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285 | } |
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286 | } |
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287 | ++idxDomain; |
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288 | } |
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289 | } |
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290 | } |
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291 | |
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292 | /*! |
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293 | Create local index of axis. |
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294 | */ |
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295 | void CDistributionClient::createLocalAxisDataIndex() |
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296 | { |
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297 | int numAxis = 0; |
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298 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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299 | if (!axisDomainOrder_(i)) ++numAxis; |
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300 | |
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301 | localAxisIndex_.resize(numAxis); |
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302 | indexAxisData_.resize(numAxis); |
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303 | |
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304 | int idxAxis = 0; |
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305 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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306 | { |
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307 | if (!axisDomainOrder_(i)) |
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308 | { |
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309 | int iIdx = 0; |
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310 | indexAxisData_[idxAxis].resize(dataNIndex_[i], false); |
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311 | for (int j = 0; j < dataNIndex_[i]; ++j) |
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312 | { |
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313 | iIdx = getAxisIndex(dataIndex_[indexMap_[i]](j), dataBegin_[indexMap_[i]], nLocal_[indexMap_[i]]); |
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314 | if ((iIdx >= nBeginLocal_[indexMap_[i]]) && |
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315 | (iIdx < nLocal_[indexMap_[i]]) && (axisMasks_[idxAxis](iIdx))) |
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316 | { |
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317 | localAxisIndex_[idxAxis].push_back(iIdx); |
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318 | indexAxisData_[idxAxis][j] = true; |
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319 | } |
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320 | } |
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321 | ++idxAxis; |
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322 | } |
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323 | } |
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324 | } |
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325 | |
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326 | void CDistributionClient::createGlobalIndex() |
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327 | { |
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328 | size_t ssize = 1, idx = 0; |
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329 | for (int i = 0; i < this->dims_; ++i) |
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330 | ssize *= nLocal_[i]; |
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331 | |
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332 | this->globalIndex_ = new CArray<size_t,1>(ssize); |
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333 | std::vector<int> idxLoop(this->dims_,0); |
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334 | int innnerLoopSize = nLocal_[0]; |
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335 | while (idx < ssize) |
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336 | { |
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337 | for (int i = 0; i < this->dims_; ++i) |
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338 | { |
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339 | if (idxLoop[i] == nLocal_[i]) |
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340 | { |
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341 | idxLoop[i] = 0; |
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342 | ++idxLoop[i+1]; |
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343 | } |
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344 | } |
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345 | |
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346 | for (int i = 0; i < innnerLoopSize; ++i) |
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347 | { |
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348 | size_t globalIndex = idxLoop[0] + nBeginGlobal_[0]; |
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349 | size_t mulDim = 1; |
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350 | for (int k = 1; k < this->dims_; ++k) |
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351 | { |
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352 | mulDim *= nGlob_[k-1]; |
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353 | globalIndex += (idxLoop[k] + nBeginGlobal_[k])*mulDim; |
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354 | } |
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355 | (*this->globalIndex_)(idx) = globalIndex; |
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356 | ++idxLoop[0]; |
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357 | ++idx; |
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358 | } |
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359 | } |
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360 | } |
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361 | |
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362 | |
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363 | /*! |
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364 | Create global index on client |
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365 | In order to do the mapping between client-server, each client creates its own |
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366 | global index of sending data. This global index is then used to calculate to which server |
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367 | the client needs to send it data as well as which part of data belongs to the server. |
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368 | So as to make clients and server coherent in order of index, global index is calculated by |
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369 | take into account of C-convention, the rightmost dimension varies faster. |
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370 | */ |
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371 | void CDistributionClient::createGlobalIndexSendToServer() |
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372 | { |
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373 | createLocalDomainDataIndex(); |
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374 | createLocalAxisDataIndex(); |
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375 | |
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376 | int idxDomain = 0, idxAxis = 0; |
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377 | std::vector<int> eachElementSize(numElement_); |
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378 | |
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379 | // Precompute size of the loop |
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380 | for (int i = 0; i < numElement_; ++i) |
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381 | { |
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382 | if(axisDomainOrder_(i)) |
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383 | { |
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384 | eachElementSize[i] = localDomainIndex_[idxDomain].size(); |
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385 | idxDomain += 2; |
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386 | } |
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387 | else |
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388 | { |
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389 | eachElementSize[i] = localAxisIndex_[idxAxis].size(); |
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390 | ++idxAxis; |
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391 | } |
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392 | } |
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393 | |
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394 | // Compute size of the global index on client |
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395 | std::vector<int> idxLoop(numElement_,0); |
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396 | std::vector<int> currentIndex(this->dims_); |
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397 | int innerLoopSize = eachElementSize[0]; |
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398 | size_t idx = 0, indexLocalDataOnClientCount = 0, indexSend2ServerCount = 0; |
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399 | size_t ssize = 1; |
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400 | for (int i = 0; i < numElement_; ++i) ssize *= eachElementSize[i]; |
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401 | while (idx < ssize) |
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402 | { |
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403 | for (int i = 0; i < numElement_-1; ++i) |
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404 | { |
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405 | if (idxLoop[i] == eachElementSize[i]) |
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406 | { |
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407 | idxLoop[i] = 0; |
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408 | ++idxLoop[i+1]; |
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409 | } |
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410 | } |
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411 | |
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412 | // Find out outer index |
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413 | // Depending the inner-most element is axis or domain, |
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414 | // The outer loop index begins correspondingly at one (1) or zero (0) |
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415 | idxDomain = idxAxis = 0; |
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416 | if (axisDomainOrder_(0)) ++idxDomain; |
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417 | else ++idxAxis; |
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418 | for (int i = 1; i < numElement_; ++i) |
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419 | { |
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420 | if (axisDomainOrder_(i)) |
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421 | { |
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422 | currentIndex[indexMap_[i]] = localDomainIndex_[idxDomain][idxLoop[i]]; |
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423 | currentIndex[indexMap_[i]+1] = localDomainIndex_[idxDomain+1][idxLoop[i]]; |
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424 | idxDomain += 2; |
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425 | } |
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426 | else |
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427 | { |
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428 | currentIndex[indexMap_[i]] = localAxisIndex_[idxAxis][idxLoop[i]]; |
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429 | ++idxAxis; |
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430 | } |
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431 | } |
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432 | |
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433 | int maskIndex = currentIndex[0]; |
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434 | for (int j = 0; j < this->dims_; ++j) |
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435 | |
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436 | // Inner most index |
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437 | idxDomain = idxAxis = 0; |
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438 | for (int i = 0; i < innerLoopSize; ++i) |
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439 | { |
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440 | if (axisDomainOrder_(0)) |
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441 | { |
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442 | currentIndex[0] = localDomainIndex_[idxDomain][i]; |
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443 | currentIndex[1] = localDomainIndex_[idxDomain+1][i]; |
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444 | } |
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445 | else currentIndex[0] = localAxisIndex_[idxAxis][i]; |
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446 | |
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447 | int gridMaskIndex = currentIndex[0]; |
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448 | int mulDimMask = 1; |
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449 | for (int k = 1; k < this->dims_; ++k) |
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450 | { |
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451 | mulDimMask *= nLocal_[k-1]; |
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452 | gridMaskIndex += (currentIndex[k])*mulDimMask; |
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453 | } |
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454 | |
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455 | if (gridMask_(gridMaskIndex)) //(gridMask_(currentIndex[0], currentIndex[1], currentIndex[2])) |
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456 | { |
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457 | ++indexLocalDataOnClientCount; |
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458 | bool isIndexOnServer = true; |
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459 | for (int j = 0; j < this->dims_; ++j) |
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460 | isIndexOnServer = isIndexOnServer && ((currentIndex[j]+nBeginGlobal_[j]) <= nZoomEnd_[j]) |
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461 | && (nZoomBegin_[j] <= (currentIndex[j]+nBeginGlobal_[j])); |
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462 | if (isIndexOnServer) ++indexSend2ServerCount; |
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463 | } |
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464 | |
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465 | } |
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466 | idxLoop[0] += innerLoopSize; |
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467 | idx += innerLoopSize; |
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468 | } |
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469 | |
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470 | |
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471 | // Now allocate these arrays |
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472 | this->globalDataSendToServer_ = new CArray<size_t,1>(indexSend2ServerCount); |
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473 | localDataIndex_ = new CArray<int,1>(indexLocalDataOnClientCount); |
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474 | localDataIndexSendToServer_ = new CArray<int,1>(indexSend2ServerCount); |
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475 | |
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476 | // We need to loop with data index |
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477 | idxLoop.assign(numElement_,0); |
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478 | idx = indexLocalDataOnClientCount = indexSend2ServerCount = 0; |
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479 | ssize = 1; for (int i = 0; i < numElement_; ++i) ssize *= dataNIndex_[i]; |
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480 | innerLoopSize = dataNIndex_[0]; |
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481 | int countLocalData = 0; |
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482 | std::vector<int> correctOuterIndex(numElement_,0); |
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483 | while (idx < ssize) |
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484 | { |
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485 | for (int i = 0; i < numElement_-1; ++i) |
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486 | { |
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487 | if (idxLoop[i] == dataNIndex_[i]) |
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488 | { |
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489 | idxLoop[i] = 0; |
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490 | correctOuterIndex[i] = 0; |
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491 | ++idxLoop[i+1]; |
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492 | ++correctOuterIndex[i+1]; |
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493 | } |
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494 | } |
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495 | |
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496 | // Depending the inner-most element axis or domain, |
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497 | // The outer loop index begins correspondingly at one (1) or zero (0) |
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498 | idxDomain = idxAxis = 0; |
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499 | if (axisDomainOrder_(0)) ++idxDomain; |
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500 | else ++idxAxis; |
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501 | bool isIndexDomainDataCorrect = true; |
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502 | bool isIndexAxisDataCorrect = true; |
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503 | |
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504 | for (int i = 1; i < numElement_; ++i) |
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505 | { |
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506 | if (axisDomainOrder_(i)) |
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507 | { |
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508 | if (indexDomainData_[idxDomain][idxLoop[i]]) |
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509 | { |
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510 | currentIndex[indexMap_[i]] = localDomainIndex_[idxDomain][correctOuterIndex[i]]; |
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511 | currentIndex[indexMap_[i]+1] = localDomainIndex_[idxDomain*2+1][correctOuterIndex[i]]; |
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512 | } |
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513 | else isIndexDomainDataCorrect = false; |
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514 | ++idxDomain; |
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515 | } |
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516 | else |
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517 | { |
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518 | if (indexAxisData_[idxAxis][idxLoop[i]]) |
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519 | { |
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520 | currentIndex[indexMap_[i]] = localAxisIndex_[idxAxis][correctOuterIndex[i]]; |
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521 | } |
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522 | else isIndexAxisDataCorrect = false; |
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523 | ++idxAxis; |
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524 | } |
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525 | } |
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526 | |
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527 | // Inner most index |
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528 | idxDomain = idxAxis = 0; |
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529 | int correctIndexDomain = 0, correctIndexAxis = 0; |
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530 | for (int i = 0; i < innerLoopSize; ++i) |
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531 | { |
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532 | if (axisDomainOrder_(0)) |
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533 | { |
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534 | if (indexDomainData_[idxDomain][i]) |
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535 | { |
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536 | currentIndex[0] = localDomainIndex_[idxDomain][correctIndexDomain]; |
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537 | currentIndex[1] = localDomainIndex_[idxDomain+1][correctIndexDomain]; |
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538 | isIndexDomainDataCorrect = true; |
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539 | ++correctIndexDomain; |
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540 | } |
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541 | else isIndexDomainDataCorrect = false; |
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542 | } |
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543 | else |
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544 | { |
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545 | if (indexAxisData_[idxAxis][i]) |
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546 | { |
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547 | currentIndex[0] = localAxisIndex_[idxAxis][correctIndexAxis]; |
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548 | isIndexAxisDataCorrect = true; |
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549 | ++correctIndexAxis; |
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550 | } |
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551 | else isIndexAxisDataCorrect = false; |
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552 | } |
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553 | |
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554 | int gridMaskIndex = currentIndex[0]; |
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555 | int mulDimMask = 1; |
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556 | for (int k = 1; k < this->dims_; ++k) |
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557 | { |
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558 | mulDimMask *= nLocal_[k-1]; |
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559 | gridMaskIndex += (currentIndex[k])*mulDimMask; |
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560 | } |
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561 | |
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562 | if (isIndexDomainDataCorrect && |
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563 | isIndexAxisDataCorrect && |
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564 | gridMask_(gridMaskIndex)) |
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565 | { |
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566 | (*localDataIndex_)(indexLocalDataOnClientCount) = countLocalData; |
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567 | |
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568 | bool isIndexOnServer = true; |
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569 | for (int j = 0; j < this->dims_; ++j) |
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570 | isIndexOnServer = isIndexOnServer && |
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571 | ((currentIndex[j]+nBeginGlobal_[j]) <= nZoomEnd_[j]) && |
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572 | (nZoomBegin_[j] <= (currentIndex[j]+nBeginGlobal_[j])); |
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573 | if (isIndexOnServer) |
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574 | { |
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575 | size_t globalIndex = currentIndex[0] + nBeginGlobal_[0]; |
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576 | size_t mulDim = 1; |
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577 | for (int k = 1; k < this->dims_; ++k) |
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578 | { |
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579 | mulDim *= nGlob_[k-1]; |
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580 | globalIndex += (currentIndex[k] + nBeginGlobal_[k])*mulDim; |
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581 | } |
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582 | (*this->globalDataSendToServer_)(indexSend2ServerCount) = globalIndex; |
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583 | (*localDataIndexSendToServer_)(indexSend2ServerCount) = indexLocalDataOnClientCount; |
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584 | ++indexSend2ServerCount; |
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585 | } |
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586 | ++indexLocalDataOnClientCount; |
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587 | } |
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588 | ++countLocalData; |
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589 | } |
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590 | idxLoop[0] += innerLoopSize; |
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591 | idx += innerLoopSize; |
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592 | } |
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593 | } |
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594 | |
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595 | /*! |
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596 | Retrieve index i and index j of a domain from its data index |
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597 | Data contains not only true data, which are sent to servers, but also ghost data, which |
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598 | very often play a role of border of each local data, so does data index. Because data of a domain |
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599 | can be one dimension, or two dimensions, there is a need to convert data index to domain index |
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600 | \param [in] dataIIndex index of i data |
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601 | \param [in] dataJIndex index of j data |
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602 | \param [in] dataIBegin index begin of i data |
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603 | \param [in] dataJBegin index begin of j data |
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604 | \param [in] dataDim dimension of data (1 or 2) |
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605 | \param [in] ni local size ni of domain |
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606 | \param [out] j j index of domain |
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607 | \return i index of domain |
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608 | */ |
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609 | int CDistributionClient::getDomainIndex(const int& dataIIndex, const int& dataJIndex, |
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610 | const int& dataIBegin, const int& dataJBegin, |
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611 | const int& dataDim, const int& ni, int& j) |
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612 | { |
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613 | int tempI = dataIIndex + dataIBegin, |
---|
614 | tempJ = (1 == dataDim) ? -1 |
---|
615 | : (dataJIndex + dataJBegin); |
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616 | int i = (dataDim == 1) ? (tempI - 1) % ni |
---|
617 | : (tempI - 1) ; |
---|
618 | j = (dataDim == 1) ? (tempI - 1) / ni |
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619 | : (tempJ - 1) ; |
---|
620 | |
---|
621 | return i; |
---|
622 | } |
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623 | |
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624 | /*! |
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625 | Retrieve index of an axis from its data index |
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626 | \param [in] dataIndex index of data |
---|
627 | \param [in] dataBegin index begin of data |
---|
628 | \param [in] ni local size of axis |
---|
629 | \return index of domain |
---|
630 | */ |
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631 | int CDistributionClient::getAxisIndex(const int& dataIndex, const int& dataBegin, const int& ni) |
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632 | { |
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633 | int tempI = dataIndex + dataBegin; |
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634 | return ((tempI-1)%ni); |
---|
635 | } |
---|
636 | |
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637 | const CArray<size_t,1>& CDistributionClient::getGlobalDataIndexSendToServer() const |
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638 | { |
---|
639 | return (*globalDataSendToServer_); |
---|
640 | } |
---|
641 | |
---|
642 | /*! |
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643 | Return local data index of client |
---|
644 | */ |
---|
645 | const CArray<int,1>& CDistributionClient::getLocalDataIndexOnClient() const |
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646 | { |
---|
647 | return (*localDataIndex_); |
---|
648 | } |
---|
649 | |
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650 | /*! |
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651 | Return local data index on client which are sent to servers |
---|
652 | */ |
---|
653 | const CArray<int,1>& CDistributionClient::getLocalDataIndexSendToServer() const |
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654 | { |
---|
655 | return (*localDataIndexSendToServer_); |
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656 | } |
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657 | |
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658 | } // namespace xios |
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