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Radically improve frame set histogram performance.
This change exploits the fact that frame set data is sorted, and the histogram bins can be calculated as distances in the frame-time vectors.
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parent
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commit
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@ -6457,26 +6457,32 @@ void View::DrawInfo()
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if( m_frameSortData.logTime )
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if( m_frameSortData.logTime )
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{
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{
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const auto tMinLog = log10fast( tmin );
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const auto tMinLog = log10( tmin );
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const auto idt = numBins / ( log10fast( tmax ) - tMinLog );
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const auto zmax = ( log10( tmax ) - tMinLog ) / numBins;
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auto fit = frames.begin();
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auto fit = frames.begin();
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while( fit != frames.end() && *fit == 0 ) fit++;
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while( fit != frames.end() && *fit == 0 ) fit++;
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while( fit != frames.end() )
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for( int64_t i=0; i<numBins; i++ )
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{
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{
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const auto bin = std::min( numBins - 1, int64_t( ( log10fast( *fit++ ) - tMinLog ) * idt ) );
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const auto nextBinVal = int64_t( pow( 10.0, tMinLog + ( i+1 ) * zmax ) );
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bins[bin]++;
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auto nit = std::lower_bound( fit, frames.end(), nextBinVal );
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bins[i] = std::distance( fit, nit );
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fit = nit;
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}
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}
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bins[numBins-1] += std::distance( fit, frames.end() );
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}
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}
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else
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else
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{
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{
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const auto idt = numBins / dt;
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const auto zmax = tmax - tmin;
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auto fit = frames.begin();
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auto fit = frames.begin();
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while( fit != frames.end() && *fit == 0 ) fit++;
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while( fit != frames.end() && *fit == 0 ) fit++;
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while( fit != frames.end() )
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for( int64_t i=0; i<numBins; i++ )
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{
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{
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const auto bin = std::min( numBins - 1, int64_t( ( *fit++ - tmin ) * idt ) );
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const auto nextBinVal = ( i+1 ) * zmax / numBins;
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bins[bin]++;
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auto nit = std::lower_bound( fit, frames.end(), nextBinVal );
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bins[i] = std::distance( fit, nit );
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fit = nit;
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}
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}
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bins[numBins-1] += std::distance( fit, frames.end() );
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}
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}
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int64_t maxVal = bins[0];
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int64_t maxVal = bins[0];
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