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implemented struct to keep track of derivatives during interpolation

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babrodtk 2015-08-05 11:02:45 +02:00
parent f424a26651
commit 1a3d12deac
1 changed files with 54 additions and 46 deletions
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100
opm/autodiff/VFPProperties.cpp
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@ -361,21 +361,53 @@ VFPProdProperties::InterpData VFPProdProperties::find_interp_data(const double&
#pragma GCC optimize ("unroll-loops") #pragma GCC optimize ("unroll-loops")
#endif #endif
namespace detail {
//An "ADB-like" structure with a value and a set of derivatives
//Just defined to make sure that operator+ and operator* do the
//correct thing for the use in this function
//Wastes some space (AoS versus SoA), but resulting code is easier to read and maintain
struct adb_like {
adb_like() : value(0.0), dthp(0.0), dwfr(0.0), dgfr(0.0), dalq(0.0), dflo(0.0) {};
double value;
double dthp;
double dwfr;
double dgfr;
double dalq;
double dflo;
};
adb_like operator+(adb_like lhs, const adb_like& rhs) {
lhs.value += rhs.value;
lhs.dthp += rhs.dthp;
lhs.dwfr += rhs.dwfr;
lhs.dgfr += rhs.dgfr;
lhs.dalq += rhs.dalq;
lhs.dflo += rhs.dflo;
return lhs;
}
adb_like operator*(double lhs, adb_like rhs) {
rhs.value *= lhs;
rhs.dthp *= lhs;
rhs.dwfr *= lhs;
rhs.dgfr *= lhs;
rhs.dalq *= lhs;
rhs.dflo *= lhs;
return rhs;
}
}
double VFPProdProperties::interpolate(const VFPProdTable::array_type& array, double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
const InterpData& flo_i, const InterpData& flo_i,
const InterpData& thp_i, const InterpData& thp_i,
const InterpData& wfr_i, const InterpData& wfr_i,
const InterpData& gfr_i, const InterpData& gfr_i,
const InterpData& alq_i) { const InterpData& alq_i) {
//Values in our hypercube
double nn[2][2][2][2][2];
//Derivatives in our hypercube //Values and derivatives in a 5D hypercube
double dthp[2][2][2][2][2]; detail::adb_like nn[2][2][2][2][2];
double dwfr[2][2][2][2][2];
double dgfr[2][2][2][2][2];
double dalq[2][2][2][2][2];
double dflo[2][2][2][2][2];
//Pick out nearest neighbors (nn) to our evaluation point //Pick out nearest neighbors (nn) to our evaluation point
//This is not really required, but performance-wise it may pay off, since the 32-elements //This is not really required, but performance-wise it may pay off, since the 32-elements
@ -395,7 +427,7 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
const int fi = flo_i.ind_[f]; const int fi = flo_i.ind_[f];
//Copy element //Copy element
nn[t][w][g][a][f] = array[ti][wi][gi][ai][fi]; nn[t][w][g][a][f].value = array[ti][wi][gi][ai][fi];
} }
} }
} }
@ -403,23 +435,23 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
} }
//Calculate derivatives //Calculate derivatives
//Note that the derivative of the two end points of a line aligned with the
//"axis of the derivative" are equal
for (int i=0; i<=1; ++i) { for (int i=0; i<=1; ++i) {
for (int j=0; j<=1; ++j) { for (int j=0; j<=1; ++j) {
for (int k=0; k<=1; ++k) { for (int k=0; k<=1; ++k) {
for (int l=0; l<=1; ++l) { for (int l=0; l<=1; ++l) {
dthp[0][i][j][k][l] = nn[1][i][j][k][l] - nn[0][i][j][k][l]; nn[0][i][j][k][l].dthp = nn[1][i][j][k][l].value - nn[0][i][j][k][l].value;
dwfr[i][0][j][k][l] = nn[i][1][j][k][l] - nn[i][0][j][k][l]; nn[i][0][j][k][l].dwfr = nn[i][1][j][k][l].value - nn[i][0][j][k][l].value;
dgfr[i][j][0][k][l] = nn[i][j][1][k][l] - nn[i][j][0][k][l]; nn[i][j][0][k][l].dgfr = nn[i][j][1][k][l].value - nn[i][j][0][k][l].value;
dalq[i][j][k][0][l] = nn[i][j][k][1][l] - nn[i][j][k][0][l]; nn[i][j][k][0][l].dalq = nn[i][j][k][1][l].value - nn[i][j][k][0][l].value;
dflo[i][j][k][l][0] = nn[i][j][k][l][1] - nn[i][j][k][l][0]; nn[i][j][k][l][0].dflo = nn[i][j][k][l][1].value - nn[i][j][k][l][0].value;
//For simplicity of the rest of the interpolation code, nn[1][i][j][k][l].dthp = nn[0][i][j][k][l].dthp;
//we copy the derivatives in the full hypercube nn[i][1][j][k][l].dwfr = nn[i][0][j][k][l].dwfr;
dthp[1][i][j][k][l] = dthp[0][i][j][k][l]; nn[i][j][1][k][l].dgfr = nn[i][j][0][k][l].dgfr;
dwfr[i][1][j][k][l] = dwfr[i][0][j][k][l]; nn[i][j][k][1][l].dalq = nn[i][j][k][0][l].dalq;
dgfr[i][j][1][k][l] = dgfr[i][j][0][k][l]; nn[i][j][k][l][1].dflo = nn[i][j][k][l][0].dflo;
dalq[i][j][k][1][l] = dalq[i][j][k][0][l];
dflo[i][j][k][l][1] = dflo[i][j][k][l][0];
} }
} }
} }
@ -438,12 +470,6 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
for (int g=0; g<=1; ++g) { for (int g=0; g<=1; ++g) {
for (int a=0; a<=1; ++a) { for (int a=0; a<=1; ++a) {
nn[t][w][g][a][0] = a*nn[t][w][g][a][0] + b*nn[t][w][g][a][1]; nn[t][w][g][a][0] = a*nn[t][w][g][a][0] + b*nn[t][w][g][a][1];
dthp[t][w][g][a][0] = a*dthp[t][w][g][a][0] + b*dthp[t][w][g][a][1];
dwfr[t][w][g][a][0] = a*dwfr[t][w][g][a][0] + b*dwfr[t][w][g][a][1];
dgfr[t][w][g][a][0] = a*dgfr[t][w][g][a][0] + b*dgfr[t][w][g][a][1];
dalq[t][w][g][a][0] = a*dalq[t][w][g][a][0] + b*dalq[t][w][g][a][1];
dflo[t][w][g][a][0] = a*dflo[t][w][g][a][0] + b*dflo[t][w][g][a][1];
} }
} }
} }
@ -455,12 +481,6 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
for (int w=0; w<=1; ++w) { for (int w=0; w<=1; ++w) {
for (int g=0; g<=1; ++g) { for (int g=0; g<=1; ++g) {
nn[t][w][g][0][0] = a*nn[t][w][g][0][0] + b*nn[t][w][g][1][0]; nn[t][w][g][0][0] = a*nn[t][w][g][0][0] + b*nn[t][w][g][1][0];
dthp[t][w][g][0][0] = a*dthp[t][w][g][0][0] + b*dthp[t][w][g][1][0];
dwfr[t][w][g][0][0] = a*dwfr[t][w][g][0][0] + b*dwfr[t][w][g][1][0];
dgfr[t][w][g][0][0] = a*dgfr[t][w][g][0][0] + b*dgfr[t][w][g][1][0];
dalq[t][w][g][0][0] = a*dalq[t][w][g][0][0] + b*dalq[t][w][g][1][0];
dflo[t][w][g][0][0] = a*dflo[t][w][g][0][0] + b*dflo[t][w][g][1][0];
} }
} }
} }
@ -470,12 +490,6 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
for (int t=0; t<=1; ++t) { for (int t=0; t<=1; ++t) {
for (int w=0; w<=1; ++w) { for (int w=0; w<=1; ++w) {
nn[t][w][0][0][0] = a*nn[t][w][0][0][0] + b*nn[t][w][1][0][0]; nn[t][w][0][0][0] = a*nn[t][w][0][0][0] + b*nn[t][w][1][0][0];
dthp[t][w][0][0][0] = a*dthp[t][w][0][0][0] + b*dthp[t][w][1][0][0];
dwfr[t][w][0][0][0] = a*dwfr[t][w][0][0][0] + b*dwfr[t][w][1][0][0];
dgfr[t][w][0][0][0] = a*dgfr[t][w][0][0][0] + b*dgfr[t][w][1][0][0];
dalq[t][w][0][0][0] = a*dalq[t][w][0][0][0] + b*dalq[t][w][1][0][0];
dflo[t][w][0][0][0] = a*dflo[t][w][0][0][0] + b*dflo[t][w][1][0][0];
} }
} }
@ -483,17 +497,11 @@ double VFPProdProperties::interpolate(const VFPProdTable::array_type& array,
a = (1.0-b); a = (1.0-b);
for (int t=0; t<=1; ++t) { for (int t=0; t<=1; ++t) {
nn[t][0][0][0][0] = a*nn[t][0][0][0][0] + b*nn[t][1][0][0][0]; nn[t][0][0][0][0] = a*nn[t][0][0][0][0] + b*nn[t][1][0][0][0];
dthp[t][0][0][0][0] = a*dthp[t][0][0][0][0] + b*dthp[t][1][0][0][0];
dwfr[t][0][0][0][0] = a*dwfr[t][0][0][0][0] + b*dwfr[t][1][0][0][0];
dgfr[t][0][0][0][0] = a*dgfr[t][0][0][0][0] + b*dgfr[t][1][0][0][0];
dalq[t][0][0][0][0] = a*dalq[t][0][0][0][0] + b*dalq[t][1][0][0][0];
dflo[t][0][0][0][0] = a*dflo[t][0][0][0][0] + b*dflo[t][1][0][0][0];
} }
b = thp_i.factor_; b = thp_i.factor_;
a = (1.0-b); a = (1.0-b);
return a*nn[0][0][0][0][0] + b*nn[1][0][0][0][0]; return a*nn[0][0][0][0][0].value + b*nn[1][0][0][0][0].value;
} }
#ifdef __GNUC__ #ifdef __GNUC__