Ejemplo n.º 1
0
/// This method rescales each statistic and combines all the results
void MultiGrid2D::reduceStatistics(){
    std::vector<BlockStatistics*> levelStatistics(this->getNumLevels());
    std::vector<int> dimensionsX, dimensionsT;
    
    dimensionsX = statsSubscriber.getDimensionsX();
    dimensionsT = statsSubscriber.getDimensionsT();
    
    for (plint iLevel=0; iLevel<this->getNumLevels(); ++iLevel) {
          int dxScale = this->getReferenceLevel() - iLevel;
          int dtScale = dxScale;  // TODO: here, we assume convective scaling; general case should be considered.
          std::vector<double> scales(dimensionsX.size());
          for (pluint iScale=0; iScale<scales.size(); ++iScale) {
              scales[iScale] = scaleToReference(dxScale, dimensionsX[iScale], dtScale, dimensionsT[iScale]);
          }
          // copy the statistics
          levelStatistics[iLevel] =  new BlockStatistics(getComponent(iLevel).getInternalStatistics()); 
          // rescale the statistics to the reference level
          levelStatistics[iLevel]->rescale(scales); 
    }
    combine(levelStatistics, getInternalStatistics() );
    
    internalStatistics.incrementStats();
    
    for (plint iLevel=0; iLevel<this->getNumLevels(); ++iLevel){
        delete levelStatistics[iLevel];
    }
}
Ejemplo n.º 2
0
void executeDataProcessor( ReductiveDataProcessorGenerator3D& generator,
                           std::vector<MultiGrid3D*> multiGrids,
                           plint referenceLevel )
{
    if(multiGrids.empty()) return;
    plint numLevels = (plint)multiGrids[0]->getNumLevels();
    std::vector<int> dimensionsX, dimensionsT;
    generator.getDimensionsX(dimensionsX);
    generator.getDimensionsT(dimensionsT);
    std::vector<ReductiveDataProcessorGenerator3D*> localGenerators(numLevels);
    std::vector<BlockStatistics*> localStatistics(numLevels);
    for (plint iLevel=0; iLevel<numLevels; ++iLevel) {
        int dxScale = (int)referenceLevel - (int)iLevel;
        int dtScale = dxScale;  // TODO: here, we assume convective scaling; general case could be considered.
        localGenerators[iLevel] = generator.clone();
        
        plint boxRescaleFactor = util::roundToInt(util::twoToThePowerPlint(std::abs(referenceLevel-iLevel)));
        if (dxScale < 0)
            generator.divide(boxRescaleFactor);  
        else
            generator.multiply(boxRescaleFactor);
        std::vector<MultiBlock3D*> localBlocks(multiGrids.size());
        for (plint iBlock=0; iBlock<(plint)localBlocks.size(); ++iBlock) {
            localBlocks[iBlock] = &multiGrids[iBlock]->getComponent(iLevel);
        }
        executeDataProcessor(*localGenerators[iLevel], localBlocks);
        std::vector<double> scales(dimensionsX.size());
        for (pluint iScale=0; iScale<scales.size(); ++iScale) {
            scales[iScale] = scaleToReference(dxScale, dimensionsX[iScale], dtScale, dimensionsT[iScale]);
        }
        localGenerators[iLevel]->getStatistics().rescale(scales);
        localStatistics[iLevel] = &(localGenerators[iLevel]->getStatistics());
    }
    combine(localStatistics, generator.getStatistics());
}