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https://github.com/OPM/ResInsight.git
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a423ecf95f
Several optimizations based on profiling of 20M grid model. These fixes will improve the largest performance issues, but there are still more operations that can be refactored. * OpenMP: Use in fault geometry generator * OpenMP: Use when computing statistics for result values * OpenMP: Use multithreading on fault detection * Add RiaOpenMPTools * VizFwk: Use openMP for texture generation
96 lines
3.7 KiB
C++
96 lines
3.7 KiB
C++
/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) Statoil ASA
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// Copyright (C) Ceetron Solutions AS
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//
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// ResInsight is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or
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// FITNESS FOR A PARTICULAR PURPOSE.
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//
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// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
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// for more details.
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//
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/////////////////////////////////////////////////////////////////////////////////
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#pragma once
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#include "RiaOpenMPTools.h"
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#include "RigActiveCellInfo.h"
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#include "RigCaseCellResultsData.h"
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#include "RigStatisticsCalculator.h"
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class RigHistogramCalculator;
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//==================================================================================================
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///
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//==================================================================================================
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class RigEclipseNativeStatCalc : public RigStatisticsCalculator
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{
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public:
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RigEclipseNativeStatCalc( RigCaseCellResultsData* cellResultsData, const RigEclipseResultAddress& eclipseResultAddress );
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bool hasPreciseP10p90() const override;
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void p10p90CellScalarValues( double& min, double& max ) override;
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void p10p90CellScalarValues( size_t timeStepIndex, double& min, double& max ) override;
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void minMaxCellScalarValues( size_t timeStepIndex, double& min, double& max ) override;
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void posNegClosestToZero( size_t timeStepIndex, double& pos, double& neg ) override;
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void valueSumAndSampleCount( size_t timeStepIndex, double& valueSum, size_t& sampleCount ) override;
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void addDataToHistogramCalculator( size_t timeStepIndex, RigHistogramCalculator& histogramCalculator ) override;
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void uniqueValues( size_t timeStepIndex, std::set<int>& values ) override;
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size_t timeStepCount() override;
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void mobileVolumeWeightedMean( size_t timeStepIndex, double& mean ) override;
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private:
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RigCaseCellResultsData* m_resultsData;
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RigEclipseResultAddress m_eclipseResultAddress;
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// Add all result values to an accumulator for a given time step
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template <typename StatisticsAccumulator>
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void traverseCells( StatisticsAccumulator& accumulator, size_t timeStepIndex )
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{
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if ( timeStepIndex >= m_resultsData->cellScalarResults( m_eclipseResultAddress ).size() )
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{
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return;
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}
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const std::vector<double>& values = m_resultsData->cellScalarResults( m_eclipseResultAddress, timeStepIndex );
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for ( const auto& val : values )
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{
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accumulator.addValue( val );
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}
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}
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// Create one accumulator for each available thread, and add values to accumulator for a given time step
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template <typename StatisticsAccumulator>
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void threadTraverseCells( std::vector<StatisticsAccumulator>& accumulators, size_t timeStepIndex )
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{
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if ( timeStepIndex >= m_resultsData->cellScalarResults( m_eclipseResultAddress ).size() )
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{
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return;
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}
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const std::vector<double>& values = m_resultsData->cellScalarResults( m_eclipseResultAddress, timeStepIndex );
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int numberOfThreads = RiaOpenMPTools::availableThreadCount();
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accumulators.resize( numberOfThreads );
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#pragma omp parallel
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{
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int myThread = RiaOpenMPTools::currentThreadIndex();
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#pragma omp for
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for ( long long i = 0; i < (long long)values.size(); i++ )
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{
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accumulators[myThread].addValue( values[i] );
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}
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}
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}
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};
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