[553] | 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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[569] | 5 | \date 09 Mars 2015 |
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[553] | 6 | |
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| 7 | \brief Index distribution on client side. |
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| 8 | */ |
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[551] | 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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[623] | 15 | globalDataSendToServer_(0), localDataIndex_(0), localDataIndexSendToServer_(0), localMaskIndex_(0), |
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| 16 | axisDomainOrder_(), |
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[552] | 17 | nLocal_(), nGlob_(), nBeginLocal_(), nBeginGlobal_(),nZoomBegin_(), nZoomEnd_(), |
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| 18 | dataNIndex_(), dataDims_(), dataBegin_(), dataIndex_(), domainMasks_(), axisMasks_(), |
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[567] | 19 | gridMask_(), localDomainIndex_(), localAxisIndex_(), indexMap_(), indexDomainData_(), indexAxisData_(), |
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[623] | 20 | isDataDistributed_(true), axisNum_(0), domainNum_(0), nIndexDomain_(), nIndexAxis_() |
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[551] | 21 | { |
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| 22 | } |
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| 23 | |
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| 24 | CDistributionClient::CDistributionClient(int rank, CGrid* grid) |
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[552] | 25 | : CDistribution(rank, 0, 0), |
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[623] | 26 | globalDataSendToServer_(0), localDataIndex_(0), localDataIndexSendToServer_(0), localMaskIndex_(0), |
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| 27 | axisDomainOrder_(), |
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[552] | 28 | nLocal_(), nGlob_(), nBeginLocal_(), nBeginGlobal_(),nZoomBegin_(), nZoomEnd_(), |
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| 29 | dataNIndex_(), dataDims_(), dataBegin_(), dataIndex_(), domainMasks_(), axisMasks_(), |
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[567] | 30 | gridMask_(), localDomainIndex_(), localAxisIndex_(), indexMap_(), indexDomainData_(), indexAxisData_(), |
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[623] | 31 | isDataDistributed_(true), axisNum_(0), domainNum_(0), nIndexDomain_(), nIndexAxis_() |
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[551] | 32 | { |
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| 33 | readDistributionInfo(grid); |
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| 34 | createGlobalIndex(); |
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[584] | 35 | createGlobalIndexSendToServer(); |
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[551] | 36 | } |
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| 37 | |
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| 38 | CDistributionClient::~CDistributionClient() |
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| 39 | { |
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[584] | 40 | if (0 != globalDataSendToServer_) delete globalDataSendToServer_; |
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[551] | 41 | if (0 != localDataIndex_) delete localDataIndex_; |
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[567] | 42 | if (0 != localDataIndexSendToServer_) delete localDataIndexSendToServer_; |
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[623] | 43 | if (0 != localMaskIndex_) delete localMaskIndex_; |
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[551] | 44 | } |
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| 45 | |
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| 46 | /*! |
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| 47 | Read information of a grid to generate distribution. |
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| 48 | Every grid is composed of several axis or/and domain(s). Their information are processed |
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| 49 | stored and used to calculate index distribution between client and server |
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| 50 | \param [in] grid Grid to read |
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| 51 | */ |
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| 52 | void CDistributionClient::readDistributionInfo(CGrid* grid) |
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| 53 | { |
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| 54 | std::vector<CDomain*> domList = grid->getDomains(); |
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| 55 | std::vector<CAxis*> axisList = grid->getAxis(); |
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[575] | 56 | CArray<bool,1> axisDomainOrder = grid->axis_domain_order; |
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[551] | 57 | |
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| 58 | std::vector<CDomain*>::iterator itbDom, iteDom, itDom; |
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| 59 | std::vector<CAxis*>::iterator itbAxis, iteAxis, itAxis; |
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| 60 | |
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| 61 | itbDom = itDom = domList.begin(); iteDom = domList.end(); |
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| 62 | itbAxis = itAxis = axisList.begin(); iteAxis = axisList.end(); |
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| 63 | |
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[567] | 64 | readDistributionInfo(domList, axisList, axisDomainOrder); |
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| 65 | |
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[551] | 66 | // Then check mask of grid |
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[567] | 67 | int gridDim = domList.size()*2 + axisList.size(); |
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[551] | 68 | grid->checkMask(); |
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[567] | 69 | switch (gridDim) { |
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| 70 | case 1: |
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| 71 | readGridMaskInfo(grid->mask1); |
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| 72 | break; |
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| 73 | case 2: |
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| 74 | readGridMaskInfo(grid->mask2); |
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| 75 | break; |
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| 76 | case 3: |
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| 77 | readGridMaskInfo(grid->mask3); |
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| 78 | break; |
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| 79 | default: |
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| 80 | break; |
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| 81 | } |
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[551] | 82 | } |
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| 83 | |
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[584] | 84 | void CDistributionClient::readDomainIndex(const std::vector<CDomain*>& domList) |
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| 85 | { |
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| 86 | int domainSize = domList.size(); |
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| 87 | nIndexDomain_.resize(domainSize); |
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| 88 | |
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| 89 | for (int k = 0; k < domainSize; ++k) |
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| 90 | { |
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| 91 | nIndexDomain_[k].resize(2); |
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| 92 | int ni = domList[k]->ni; |
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| 93 | int nj = domList[k]->nj; |
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| 94 | nIndexDomain_[k][0].resize(ni,nj); |
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| 95 | nIndexDomain_[k][1].resize(ni,nj); |
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| 96 | nIndexDomain_[k][0] = domList[k]->i_index; |
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| 97 | nIndexDomain_[k][1] = domList[k]->j_index; |
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| 98 | } |
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| 99 | } |
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| 100 | |
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| 101 | void CDistributionClient::readAxisIndex(const std::vector<CAxis*>& axisList) |
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| 102 | { |
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| 103 | int axisSize = axisList.size(); |
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| 104 | nIndexAxis_.resize(axisSize); |
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| 105 | |
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| 106 | for (int k = 0; k < axisSize; ++k) |
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| 107 | { |
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| 108 | int n = axisList[k]->ni; |
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| 109 | nIndexAxis_[k].resize(n); |
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| 110 | for (int i = 0; i < n; ++i) |
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| 111 | nIndexAxis_[k](i) = i; |
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| 112 | } |
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| 113 | } |
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| 114 | |
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[551] | 115 | /*! |
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| 116 | Read information from domain(s) and axis to generate distribution. |
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| 117 | All information related to domain, e.g ibegin, jbegin, ni, nj, ni_glo, nj_glo |
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| 118 | as well as related to axis, e.g dataNIndex, dataIndex will be stored to compute |
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| 119 | the distribution between clients and servers. Till now, every data structure of domain has been kept |
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| 120 | like before, e.g: data_n_index to make sure a compability, however, it should be changed? |
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| 121 | \param [in] domList List of domains of grid |
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| 122 | \param [in] axisList List of axis of grid |
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| 123 | \param [in] axisDomainOrder order of axis and domain inside a grid. True if domain, false if axis |
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[567] | 124 | // \param [in] gridMask Mask of grid, for now, keep it 3 dimension, but it needs changing |
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[551] | 125 | */ |
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| 126 | void CDistributionClient::readDistributionInfo(const std::vector<CDomain*>& domList, |
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| 127 | const std::vector<CAxis*>& axisList, |
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[567] | 128 | const CArray<bool,1>& axisDomainOrder) |
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[551] | 129 | { |
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[567] | 130 | domainNum_ = domList.size(); |
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| 131 | axisNum_ = axisList.size(); |
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[551] | 132 | numElement_ = axisDomainOrder.numElements(); // Number of element, e.x: Axis, Domain |
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| 133 | |
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| 134 | axisDomainOrder_.resize(numElement_); |
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| 135 | axisDomainOrder_ = axisDomainOrder; |
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| 136 | |
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| 137 | // Each domain or axis has its mask, of course |
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[567] | 138 | domainMasks_.resize(domainNum_); |
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| 139 | for (int i = 0; i < domainNum_;++i) |
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[551] | 140 | { |
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| 141 | domainMasks_[i].resize(domList[i]->mask.extent(0), domList[i]->mask.extent(1)); |
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| 142 | domainMasks_[i] = domList[i]->mask; |
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| 143 | } |
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| 144 | |
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[567] | 145 | axisMasks_.resize(axisNum_); |
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| 146 | for (int i = 0; i < axisNum_; ++i) |
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[551] | 147 | { |
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| 148 | axisMasks_[i].resize(axisList[i]->mask.numElements()); |
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| 149 | axisMasks_[i] = axisList[i]->mask; |
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| 150 | } |
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| 151 | |
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| 152 | // Because domain and axis can be in any order (axis1, domain1, axis2, axis3, ) |
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| 153 | // their position should be specified. In axisDomainOrder, domain == true, axis == false |
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| 154 | int idx = 0; |
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| 155 | indexMap_.resize(numElement_); |
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| 156 | this->dims_ = numElement_; |
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| 157 | for (int i = 0; i < numElement_; ++i) |
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| 158 | { |
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| 159 | indexMap_[i] = idx; |
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| 160 | if (true == axisDomainOrder(i)) |
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| 161 | { |
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| 162 | ++(this->dims_); |
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| 163 | idx += 2; |
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| 164 | } |
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[567] | 165 | else ++idx; |
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[551] | 166 | } |
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| 167 | |
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| 168 | // Size of each dimension (local and global) |
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| 169 | nLocal_.resize(this->dims_); |
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| 170 | nGlob_.resize(this->dims_); |
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| 171 | nBeginLocal_.resize(this->dims_,0); |
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| 172 | nBeginGlobal_.resize(this->dims_,0); |
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| 173 | nZoomBegin_.resize(this->dims_); |
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| 174 | nZoomEnd_.resize(this->dims_); |
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| 175 | |
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| 176 | // Data_n_index of domain or axis (For now, axis uses its size as data_n_index |
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| 177 | dataNIndex_.resize(numElement_); |
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| 178 | dataDims_.resize(numElement_); |
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| 179 | dataBegin_.resize(this->dims_); |
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| 180 | |
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| 181 | // Data_*_index of each dimension |
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| 182 | dataIndex_.resize(this->dims_); |
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| 183 | |
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| 184 | // A trick to determine position of each domain in domainList |
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| 185 | int domIndex = 0, axisIndex = 0; |
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| 186 | idx = 0; |
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| 187 | |
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[594] | 188 | isDataDistributed_ = false; |
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[551] | 189 | // Update all the vectors above |
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| 190 | while (idx < numElement_) |
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| 191 | { |
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| 192 | bool isDomain = axisDomainOrder(idx); |
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| 193 | |
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| 194 | // If this is a domain |
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| 195 | if (isDomain) |
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| 196 | { |
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| 197 | // On the j axis |
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| 198 | nLocal_.at(indexMap_[idx]+1) = domList[domIndex]->nj.getValue(); |
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| 199 | nGlob_.at(indexMap_[idx]+1) = domList[domIndex]->nj_glo.getValue(); |
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| 200 | nBeginLocal_.at(indexMap_[idx]+1) = 0; |
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| 201 | nBeginGlobal_.at(indexMap_[idx]+1) = domList[domIndex]->jbegin; |
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[631] | 202 | nZoomBegin_.at((indexMap_[idx]+1)) = domList[domIndex]->global_zoom_jbegin; |
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| 203 | nZoomEnd_.at((indexMap_[idx]+1)) = domList[domIndex]->global_zoom_jbegin + domList[domIndex]->global_zoom_nj-1; |
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[551] | 204 | |
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| 205 | dataBegin_.at(indexMap_[idx]+1) = (2 == domList[domIndex]->data_dim) ? domList[domIndex]->data_jbegin.getValue() : -1; |
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| 206 | dataIndex_.at(indexMap_[idx]+1).resize(domList[domIndex]->data_j_index.numElements()); |
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| 207 | dataIndex_.at(indexMap_[idx]+1) = domList[domIndex]->data_j_index; |
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| 208 | |
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| 209 | // On the i axis |
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| 210 | nLocal_.at(indexMap_[idx]) = domList[domIndex]->ni.getValue(); |
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| 211 | nGlob_.at(indexMap_[idx]) = domList[domIndex]->ni_glo.getValue(); |
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| 212 | nBeginLocal_.at(indexMap_[idx]) = 0; |
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| 213 | nBeginGlobal_.at(indexMap_[idx]) = domList[domIndex]->ibegin; |
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[631] | 214 | nZoomBegin_.at((indexMap_[idx])) = domList[domIndex]->global_zoom_ibegin; |
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| 215 | nZoomEnd_.at((indexMap_[idx])) = domList[domIndex]->global_zoom_ibegin + domList[domIndex]->global_zoom_ni-1; |
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[551] | 216 | |
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| 217 | dataBegin_.at(indexMap_[idx]) = domList[domIndex]->data_ibegin.getValue(); |
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| 218 | dataIndex_.at(indexMap_[idx]).resize(domList[domIndex]->data_i_index.numElements()); |
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| 219 | dataIndex_.at(indexMap_[idx]) = domList[domIndex]->data_i_index; |
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| 220 | |
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| 221 | dataNIndex_.at(idx) = domList[domIndex]->data_n_index.getValue(); |
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| 222 | dataDims_.at(idx) = domList[domIndex]->data_dim.getValue(); |
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[594] | 223 | |
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| 224 | isDataDistributed_ |= domList[domIndex]->isDistributed(); |
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| 225 | |
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[551] | 226 | ++domIndex; |
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| 227 | } |
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| 228 | else // So it's an axis |
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| 229 | { |
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[553] | 230 | nLocal_.at(indexMap_[idx]) = axisList[axisIndex]->ni.getValue(); |
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[551] | 231 | nGlob_.at(indexMap_[idx]) = axisList[axisIndex]->size.getValue(); |
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[553] | 232 | nBeginLocal_.at(indexMap_[idx]) = 0; |
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[551] | 233 | nBeginGlobal_.at(indexMap_[idx]) = axisList[axisIndex]->ibegin.getValue(); |
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[623] | 234 | nZoomBegin_.at((indexMap_[idx])) = axisList[axisIndex]->global_zoom_begin; |
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| 235 | nZoomEnd_.at((indexMap_[idx])) = axisList[axisIndex]->global_zoom_begin + axisList[axisIndex]->global_zoom_size-1; |
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[551] | 236 | |
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| 237 | dataBegin_.at(indexMap_[idx]) = axisList[axisIndex]->data_begin.getValue(); |
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| 238 | dataIndex_.at(indexMap_[idx]).resize(axisList[axisIndex]->data_index.numElements()); |
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| 239 | dataIndex_.at(indexMap_[idx]) = axisList[axisIndex]->data_index; |
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| 240 | dataNIndex_.at(idx) = axisList[axisIndex]->data_index.numElements(); |
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| 241 | dataDims_.at(idx) = 1; |
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[594] | 242 | |
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| 243 | isDataDistributed_ |= axisList[axisIndex]->isDistributed(); |
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| 244 | |
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[551] | 245 | ++axisIndex; |
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| 246 | } |
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| 247 | ++idx; |
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| 248 | } |
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[584] | 249 | readDomainIndex(domList); |
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| 250 | readAxisIndex(axisList); |
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[551] | 251 | } |
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| 252 | |
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| 253 | /*! |
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| 254 | Create local index of domain(s). |
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| 255 | A domain can have data index which even contains the "ghost" points. Very often, these |
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| 256 | data surround the true data. In order to send correct data to server, |
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| 257 | a client need to know index of the true data. |
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| 258 | */ |
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| 259 | void CDistributionClient::createLocalDomainDataIndex() |
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| 260 | { |
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| 261 | int numDomain = 0; |
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| 262 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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| 263 | if (axisDomainOrder_(i)) ++numDomain; |
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| 264 | |
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| 265 | localDomainIndex_.resize(numDomain*2); |
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| 266 | indexDomainData_.resize(numDomain); |
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| 267 | |
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| 268 | int idxDomain = 0; |
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| 269 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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| 270 | { |
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| 271 | if (axisDomainOrder_(i)) |
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| 272 | { |
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| 273 | int iIdx, jIdx = 0, count = 0; |
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| 274 | indexDomainData_[idxDomain].resize(dataNIndex_[i], false); |
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| 275 | for (int j = 0; j < dataNIndex_[i]; ++j) |
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| 276 | { |
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| 277 | iIdx = getDomainIndex(dataIndex_[indexMap_[i]](j), dataIndex_[indexMap_[i]+1](j), |
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| 278 | dataBegin_[indexMap_[i]], dataBegin_[indexMap_[i]+1], |
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| 279 | dataDims_[i], nLocal_[indexMap_[i]], jIdx); |
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| 280 | |
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| 281 | if ((iIdx >= nBeginLocal_[indexMap_[i]]) && (iIdx < nLocal_[indexMap_[i]]) && |
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| 282 | (jIdx >= nBeginLocal_[indexMap_[i]+1]) && (jIdx < nLocal_[indexMap_[i]+1]) && |
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| 283 | (domainMasks_[idxDomain](iIdx, jIdx))) |
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| 284 | { |
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| 285 | (localDomainIndex_[idxDomain]).push_back(iIdx); |
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| 286 | (localDomainIndex_[idxDomain*2+1]).push_back(jIdx); |
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| 287 | indexDomainData_[idxDomain][j] = true; |
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| 288 | } |
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| 289 | } |
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| 290 | ++idxDomain; |
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| 291 | } |
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| 292 | } |
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| 293 | } |
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| 294 | |
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| 295 | /*! |
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| 296 | Create local index of axis. |
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| 297 | */ |
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| 298 | void CDistributionClient::createLocalAxisDataIndex() |
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| 299 | { |
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| 300 | int numAxis = 0; |
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| 301 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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| 302 | if (!axisDomainOrder_(i)) ++numAxis; |
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| 303 | |
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| 304 | localAxisIndex_.resize(numAxis); |
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[553] | 305 | indexAxisData_.resize(numAxis); |
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[551] | 306 | |
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| 307 | int idxAxis = 0; |
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| 308 | for (int i = 0; i < axisDomainOrder_.numElements(); ++i) |
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| 309 | { |
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| 310 | if (!axisDomainOrder_(i)) |
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| 311 | { |
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| 312 | int iIdx = 0; |
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[553] | 313 | indexAxisData_[idxAxis].resize(dataNIndex_[i], false); |
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[551] | 314 | for (int j = 0; j < dataNIndex_[i]; ++j) |
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| 315 | { |
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| 316 | iIdx = getAxisIndex(dataIndex_[indexMap_[i]](j), dataBegin_[indexMap_[i]], nLocal_[indexMap_[i]]); |
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| 317 | if ((iIdx >= nBeginLocal_[indexMap_[i]]) && |
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| 318 | (iIdx < nLocal_[indexMap_[i]]) && (axisMasks_[idxAxis](iIdx))) |
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| 319 | { |
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| 320 | localAxisIndex_[idxAxis].push_back(iIdx); |
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[553] | 321 | indexAxisData_[idxAxis][j] = true; |
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[551] | 322 | } |
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| 323 | } |
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| 324 | ++idxAxis; |
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| 325 | } |
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| 326 | } |
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| 327 | } |
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| 328 | |
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[584] | 329 | void CDistributionClient::createGlobalIndex() |
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| 330 | { |
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| 331 | size_t ssize = 1, idx = 0; |
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| 332 | for (int i = 0; i < this->dims_; ++i) |
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| 333 | ssize *= nLocal_[i]; |
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| 334 | |
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| 335 | this->globalIndex_ = new CArray<size_t,1>(ssize); |
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| 336 | std::vector<int> idxLoop(this->dims_,0); |
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| 337 | int innnerLoopSize = nLocal_[0]; |
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| 338 | while (idx < ssize) |
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| 339 | { |
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| 340 | for (int i = 0; i < this->dims_; ++i) |
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| 341 | { |
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| 342 | if (idxLoop[i] == nLocal_[i]) |
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| 343 | { |
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| 344 | idxLoop[i] = 0; |
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| 345 | ++idxLoop[i+1]; |
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| 346 | } |
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| 347 | } |
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| 348 | |
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| 349 | for (int i = 0; i < innnerLoopSize; ++i) |
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| 350 | { |
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| 351 | size_t globalIndex = idxLoop[0] + nBeginGlobal_[0]; |
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| 352 | size_t mulDim = 1; |
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| 353 | for (int k = 1; k < this->dims_; ++k) |
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| 354 | { |
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| 355 | mulDim *= nGlob_[k-1]; |
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| 356 | globalIndex += (idxLoop[k] + nBeginGlobal_[k])*mulDim; |
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| 357 | } |
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| 358 | (*this->globalIndex_)(idx) = globalIndex; |
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| 359 | ++idxLoop[0]; |
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| 360 | ++idx; |
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| 361 | } |
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| 362 | } |
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| 363 | } |
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| 364 | |
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| 365 | |
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[551] | 366 | /*! |
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| 367 | Create global index on client |
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| 368 | In order to do the mapping between client-server, each client creates its own |
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| 369 | global index of sending data. This global index is then used to calculate to which server |
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| 370 | the client needs to send it data as well as which part of data belongs to the server. |
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| 371 | So as to make clients and server coherent in order of index, global index is calculated by |
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| 372 | take into account of C-convention, the rightmost dimension varies faster. |
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| 373 | */ |
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[584] | 374 | void CDistributionClient::createGlobalIndexSendToServer() |
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[551] | 375 | { |
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| 376 | createLocalDomainDataIndex(); |
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| 377 | createLocalAxisDataIndex(); |
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| 378 | |
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| 379 | int idxDomain = 0, idxAxis = 0; |
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| 380 | std::vector<int> eachElementSize(numElement_); |
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| 381 | |
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| 382 | // Precompute size of the loop |
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| 383 | for (int i = 0; i < numElement_; ++i) |
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| 384 | { |
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| 385 | if(axisDomainOrder_(i)) |
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| 386 | { |
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| 387 | eachElementSize[i] = localDomainIndex_[idxDomain].size(); |
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| 388 | idxDomain += 2; |
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| 389 | } |
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| 390 | else |
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| 391 | { |
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| 392 | eachElementSize[i] = localAxisIndex_[idxAxis].size(); |
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| 393 | ++idxAxis; |
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| 394 | } |
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| 395 | } |
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| 396 | |
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| 397 | // Compute size of the global index on client |
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[623] | 398 | std::vector<StdSize> idxLoop(numElement_,0); |
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| 399 | std::vector<StdSize> currentIndex(this->dims_,0); |
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[551] | 400 | int innerLoopSize = eachElementSize[0]; |
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| 401 | size_t idx = 0, indexLocalDataOnClientCount = 0, indexSend2ServerCount = 0; |
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| 402 | size_t ssize = 1; |
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| 403 | for (int i = 0; i < numElement_; ++i) ssize *= eachElementSize[i]; |
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| 404 | while (idx < ssize) |
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| 405 | { |
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| 406 | for (int i = 0; i < numElement_-1; ++i) |
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| 407 | { |
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| 408 | if (idxLoop[i] == eachElementSize[i]) |
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| 409 | { |
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| 410 | idxLoop[i] = 0; |
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| 411 | ++idxLoop[i+1]; |
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| 412 | } |
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| 413 | } |
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| 414 | |
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[553] | 415 | // Find out outer index |
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[567] | 416 | // Depending the inner-most element is axis or domain, |
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| 417 | // The outer loop index begins correspondingly at one (1) or zero (0) |
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[551] | 418 | idxDomain = idxAxis = 0; |
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[567] | 419 | if (axisDomainOrder_(0)) ++idxDomain; |
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| 420 | else ++idxAxis; |
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[551] | 421 | for (int i = 1; i < numElement_; ++i) |
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| 422 | { |
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| 423 | if (axisDomainOrder_(i)) |
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| 424 | { |
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| 425 | currentIndex[indexMap_[i]] = localDomainIndex_[idxDomain][idxLoop[i]]; |
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| 426 | currentIndex[indexMap_[i]+1] = localDomainIndex_[idxDomain+1][idxLoop[i]]; |
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| 427 | idxDomain += 2; |
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| 428 | } |
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| 429 | else |
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| 430 | { |
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| 431 | currentIndex[indexMap_[i]] = localAxisIndex_[idxAxis][idxLoop[i]]; |
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| 432 | ++idxAxis; |
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| 433 | } |
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| 434 | } |
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| 435 | |
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[567] | 436 | int maskIndex = currentIndex[0]; |
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| 437 | for (int j = 0; j < this->dims_; ++j) |
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| 438 | |
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[551] | 439 | // Inner most index |
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| 440 | idxDomain = idxAxis = 0; |
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| 441 | for (int i = 0; i < innerLoopSize; ++i) |
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| 442 | { |
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| 443 | if (axisDomainOrder_(0)) |
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| 444 | { |
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| 445 | currentIndex[0] = localDomainIndex_[idxDomain][i]; |
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| 446 | currentIndex[1] = localDomainIndex_[idxDomain+1][i]; |
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| 447 | } |
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| 448 | else currentIndex[0] = localAxisIndex_[idxAxis][i]; |
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| 449 | |
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[623] | 450 | StdSize gridMaskIndex = currentIndex[0]; |
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[567] | 451 | int mulDimMask = 1; |
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| 452 | for (int k = 1; k < this->dims_; ++k) |
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[551] | 453 | { |
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[567] | 454 | mulDimMask *= nLocal_[k-1]; |
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| 455 | gridMaskIndex += (currentIndex[k])*mulDimMask; |
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| 456 | } |
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| 457 | |
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| 458 | if (gridMask_(gridMaskIndex)) //(gridMask_(currentIndex[0], currentIndex[1], currentIndex[2])) |
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| 459 | { |
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[551] | 460 | ++indexLocalDataOnClientCount; |
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| 461 | bool isIndexOnServer = true; |
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| 462 | for (int j = 0; j < this->dims_; ++j) |
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| 463 | isIndexOnServer = isIndexOnServer && ((currentIndex[j]+nBeginGlobal_[j]) <= nZoomEnd_[j]) |
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| 464 | && (nZoomBegin_[j] <= (currentIndex[j]+nBeginGlobal_[j])); |
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| 465 | if (isIndexOnServer) ++indexSend2ServerCount; |
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| 466 | } |
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| 467 | |
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| 468 | } |
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| 469 | idxLoop[0] += innerLoopSize; |
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| 470 | idx += innerLoopSize; |
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| 471 | } |
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| 472 | |
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[553] | 473 | |
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| 474 | // Now allocate these arrays |
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[584] | 475 | this->globalDataSendToServer_ = new CArray<size_t,1>(indexSend2ServerCount); |
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[551] | 476 | localDataIndex_ = new CArray<int,1>(indexLocalDataOnClientCount); |
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[567] | 477 | localDataIndexSendToServer_ = new CArray<int,1>(indexSend2ServerCount); |
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[623] | 478 | localMaskIndex_ = new CArray<int,1>(indexSend2ServerCount); |
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[551] | 479 | |
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[553] | 480 | // We need to loop with data index |
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[551] | 481 | idxLoop.assign(numElement_,0); |
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| 482 | idx = indexLocalDataOnClientCount = indexSend2ServerCount = 0; |
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[567] | 483 | ssize = 1; for (int i = 0; i < numElement_; ++i) ssize *= dataNIndex_[i]; |
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| 484 | innerLoopSize = dataNIndex_[0]; |
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| 485 | int countLocalData = 0; |
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| 486 | std::vector<int> correctOuterIndex(numElement_,0); |
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[623] | 487 | bool isOuterIndexCorrect = true; |
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[551] | 488 | while (idx < ssize) |
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| 489 | { |
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| 490 | for (int i = 0; i < numElement_-1; ++i) |
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| 491 | { |
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[553] | 492 | if (idxLoop[i] == dataNIndex_[i]) |
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[551] | 493 | { |
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| 494 | idxLoop[i] = 0; |
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[567] | 495 | correctOuterIndex[i] = 0; |
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[551] | 496 | ++idxLoop[i+1]; |
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[623] | 497 | if (isOuterIndexCorrect) ++correctOuterIndex[i+1]; |
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[551] | 498 | } |
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| 499 | } |
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| 500 | |
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[567] | 501 | // Depending the inner-most element axis or domain, |
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| 502 | // The outer loop index begins correspondingly at one (1) or zero (0) |
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[551] | 503 | idxDomain = idxAxis = 0; |
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[567] | 504 | if (axisDomainOrder_(0)) ++idxDomain; |
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| 505 | else ++idxAxis; |
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| 506 | bool isIndexDomainDataCorrect = true; |
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| 507 | bool isIndexAxisDataCorrect = true; |
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[553] | 508 | |
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[551] | 509 | for (int i = 1; i < numElement_; ++i) |
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| 510 | { |
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| 511 | if (axisDomainOrder_(i)) |
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| 512 | { |
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| 513 | if (indexDomainData_[idxDomain][idxLoop[i]]) |
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| 514 | { |
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[567] | 515 | currentIndex[indexMap_[i]] = localDomainIndex_[idxDomain][correctOuterIndex[i]]; |
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| 516 | currentIndex[indexMap_[i]+1] = localDomainIndex_[idxDomain*2+1][correctOuterIndex[i]]; |
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[623] | 517 | isIndexDomainDataCorrect &= true; |
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[551] | 518 | } |
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[567] | 519 | else isIndexDomainDataCorrect = false; |
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[551] | 520 | ++idxDomain; |
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| 521 | } |
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| 522 | else |
---|
| 523 | { |
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[553] | 524 | if (indexAxisData_[idxAxis][idxLoop[i]]) |
---|
| 525 | { |
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[567] | 526 | currentIndex[indexMap_[i]] = localAxisIndex_[idxAxis][correctOuterIndex[i]]; |
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[623] | 527 | isIndexAxisDataCorrect &= true; |
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[553] | 528 | } |
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[567] | 529 | else isIndexAxisDataCorrect = false; |
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[551] | 530 | ++idxAxis; |
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| 531 | } |
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| 532 | } |
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| 533 | |
---|
[623] | 534 | isOuterIndexCorrect = (isIndexAxisDataCorrect) && (isIndexDomainDataCorrect); |
---|
| 535 | |
---|
[551] | 536 | // Inner most index |
---|
| 537 | idxDomain = idxAxis = 0; |
---|
[553] | 538 | int correctIndexDomain = 0, correctIndexAxis = 0; |
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[551] | 539 | for (int i = 0; i < innerLoopSize; ++i) |
---|
| 540 | { |
---|
[623] | 541 | bool isCurrentIndexDomainDataCorrect = isIndexDomainDataCorrect; |
---|
| 542 | bool isCurrentIndexAxisDataCorrect = isIndexAxisDataCorrect; |
---|
| 543 | |
---|
[551] | 544 | if (axisDomainOrder_(0)) |
---|
| 545 | { |
---|
| 546 | if (indexDomainData_[idxDomain][i]) |
---|
| 547 | { |
---|
| 548 | currentIndex[0] = localDomainIndex_[idxDomain][correctIndexDomain]; |
---|
| 549 | currentIndex[1] = localDomainIndex_[idxDomain+1][correctIndexDomain]; |
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[623] | 550 | isCurrentIndexDomainDataCorrect &= true; |
---|
[551] | 551 | ++correctIndexDomain; |
---|
[553] | 552 | } |
---|
[623] | 553 | else isCurrentIndexDomainDataCorrect = false; |
---|
[551] | 554 | } |
---|
| 555 | else |
---|
| 556 | { |
---|
[553] | 557 | if (indexAxisData_[idxAxis][i]) |
---|
| 558 | { |
---|
| 559 | currentIndex[0] = localAxisIndex_[idxAxis][correctIndexAxis]; |
---|
[623] | 560 | isCurrentIndexAxisDataCorrect &= true; |
---|
[553] | 561 | ++correctIndexAxis; |
---|
| 562 | } |
---|
[623] | 563 | else isCurrentIndexAxisDataCorrect = false; |
---|
[551] | 564 | } |
---|
| 565 | |
---|
[567] | 566 | int gridMaskIndex = currentIndex[0]; |
---|
| 567 | int mulDimMask = 1; |
---|
| 568 | for (int k = 1; k < this->dims_; ++k) |
---|
| 569 | { |
---|
| 570 | mulDimMask *= nLocal_[k-1]; |
---|
| 571 | gridMaskIndex += (currentIndex[k])*mulDimMask; |
---|
| 572 | } |
---|
| 573 | |
---|
[623] | 574 | if (isCurrentIndexDomainDataCorrect && |
---|
| 575 | isCurrentIndexAxisDataCorrect && |
---|
[567] | 576 | gridMask_(gridMaskIndex)) |
---|
[551] | 577 | { |
---|
[567] | 578 | (*localDataIndex_)(indexLocalDataOnClientCount) = countLocalData; |
---|
[551] | 579 | |
---|
| 580 | bool isIndexOnServer = true; |
---|
| 581 | for (int j = 0; j < this->dims_; ++j) |
---|
[553] | 582 | isIndexOnServer = isIndexOnServer && |
---|
| 583 | ((currentIndex[j]+nBeginGlobal_[j]) <= nZoomEnd_[j]) && |
---|
| 584 | (nZoomBegin_[j] <= (currentIndex[j]+nBeginGlobal_[j])); |
---|
[551] | 585 | if (isIndexOnServer) |
---|
| 586 | { |
---|
[553] | 587 | size_t globalIndex = currentIndex[0] + nBeginGlobal_[0]; |
---|
[551] | 588 | size_t mulDim = 1; |
---|
| 589 | for (int k = 1; k < this->dims_; ++k) |
---|
| 590 | { |
---|
| 591 | mulDim *= nGlob_[k-1]; |
---|
| 592 | globalIndex += (currentIndex[k] + nBeginGlobal_[k])*mulDim; |
---|
| 593 | } |
---|
[584] | 594 | (*this->globalDataSendToServer_)(indexSend2ServerCount) = globalIndex; |
---|
[567] | 595 | (*localDataIndexSendToServer_)(indexSend2ServerCount) = indexLocalDataOnClientCount; |
---|
[623] | 596 | (*localMaskIndex_)(indexSend2ServerCount) = gridMaskIndex; |
---|
[551] | 597 | ++indexSend2ServerCount; |
---|
| 598 | } |
---|
[567] | 599 | ++indexLocalDataOnClientCount; |
---|
[551] | 600 | } |
---|
[567] | 601 | ++countLocalData; |
---|
[551] | 602 | } |
---|
| 603 | idxLoop[0] += innerLoopSize; |
---|
| 604 | idx += innerLoopSize; |
---|
| 605 | } |
---|
| 606 | } |
---|
| 607 | |
---|
| 608 | /*! |
---|
| 609 | Retrieve index i and index j of a domain from its data index |
---|
| 610 | Data contains not only true data, which are sent to servers, but also ghost data, which |
---|
| 611 | very often play a role of border of each local data, so does data index. Because data of a domain |
---|
| 612 | can be one dimension, or two dimensions, there is a need to convert data index to domain index |
---|
| 613 | \param [in] dataIIndex index of i data |
---|
| 614 | \param [in] dataJIndex index of j data |
---|
| 615 | \param [in] dataIBegin index begin of i data |
---|
| 616 | \param [in] dataJBegin index begin of j data |
---|
| 617 | \param [in] dataDim dimension of data (1 or 2) |
---|
| 618 | \param [in] ni local size ni of domain |
---|
| 619 | \param [out] j j index of domain |
---|
| 620 | \return i index of domain |
---|
| 621 | */ |
---|
| 622 | int CDistributionClient::getDomainIndex(const int& dataIIndex, const int& dataJIndex, |
---|
| 623 | const int& dataIBegin, const int& dataJBegin, |
---|
| 624 | const int& dataDim, const int& ni, int& j) |
---|
| 625 | { |
---|
| 626 | int tempI = dataIIndex + dataIBegin, |
---|
| 627 | tempJ = (1 == dataDim) ? -1 |
---|
| 628 | : (dataJIndex + dataJBegin); |
---|
| 629 | int i = (dataDim == 1) ? (tempI - 1) % ni |
---|
| 630 | : (tempI - 1) ; |
---|
| 631 | j = (dataDim == 1) ? (tempI - 1) / ni |
---|
| 632 | : (tempJ - 1) ; |
---|
| 633 | |
---|
| 634 | return i; |
---|
| 635 | } |
---|
| 636 | |
---|
| 637 | /*! |
---|
| 638 | Retrieve index of an axis from its data index |
---|
| 639 | \param [in] dataIndex index of data |
---|
| 640 | \param [in] dataBegin index begin of data |
---|
| 641 | \param [in] ni local size of axis |
---|
| 642 | \return index of domain |
---|
| 643 | */ |
---|
| 644 | int CDistributionClient::getAxisIndex(const int& dataIndex, const int& dataBegin, const int& ni) |
---|
| 645 | { |
---|
| 646 | int tempI = dataIndex + dataBegin; |
---|
| 647 | return ((tempI-1)%ni); |
---|
| 648 | } |
---|
| 649 | |
---|
[584] | 650 | const CArray<size_t,1>& CDistributionClient::getGlobalDataIndexSendToServer() const |
---|
| 651 | { |
---|
| 652 | return (*globalDataSendToServer_); |
---|
| 653 | } |
---|
| 654 | |
---|
[551] | 655 | /*! |
---|
| 656 | Return local data index of client |
---|
| 657 | */ |
---|
| 658 | const CArray<int,1>& CDistributionClient::getLocalDataIndexOnClient() const |
---|
| 659 | { |
---|
| 660 | return (*localDataIndex_); |
---|
| 661 | } |
---|
| 662 | |
---|
[569] | 663 | /*! |
---|
[623] | 664 | Return local mask index of client |
---|
| 665 | */ |
---|
| 666 | const CArray<int,1>& CDistributionClient::getLocalMaskIndexOnClient() const |
---|
| 667 | { |
---|
| 668 | return (*localMaskIndex_); |
---|
| 669 | } |
---|
| 670 | |
---|
| 671 | /*! |
---|
[569] | 672 | Return local data index on client which are sent to servers |
---|
| 673 | */ |
---|
[584] | 674 | const CArray<int,1>& CDistributionClient::getLocalDataIndexSendToServer() const |
---|
[567] | 675 | { |
---|
| 676 | return (*localDataIndexSendToServer_); |
---|
| 677 | } |
---|
| 678 | |
---|
[551] | 679 | } // namespace xios |
---|