subdomain matrix for opencl

Rebased
This commit is contained in:
Tong Dong Qiu 2022-02-22 15:48:14 +01:00
parent e360c00b73
commit dee5e16fb8
6 changed files with 47 additions and 23 deletions

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@ -165,22 +165,22 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
this->nnz_jm = jacMat->nnzbs * block_size * block_size;
this->nnzbs_jm = jacMat->nnzbs;
int *CSCRowIndices = nullptr;
int *CSCColPointers = nullptr;
std::vector<int> CSCRowIndices;
std::vector<int> CSCColPointers;
if (opencl_ilu_reorder == ILUReorder::NONE) {
LUmat = std::make_unique<BlockedMatrix>(*mat);
} else {
toOrder.resize(Nb);
fromOrder.resize(Nb);
CSCRowIndices = new int[nnzbs_jm];
CSCColPointers = new int[Nb + 1];
CSCRowIndices.resize(nnzbs_jm);
CSCColPointers.resize(Nb + 1);
rmat = std::make_shared<BlockedMatrix>(mat->Nb, mat->nnzbs, block_size);
rJacMat = std::make_shared<BlockedMatrix>(jacMat->Nb, jacMat->nnzbs, block_size);
LUmat = std::make_unique<BlockedMatrix>(*rJacMat);
Timer t_convert;
csrPatternToCsc(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices, CSCColPointers, jacMat->Nb);
csrPatternToCsc(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb);
if(verbosity >= 3){
std::ostringstream out;
out << "BILU0 convert CSR to CSC: " << t_convert.stop() << " s";
@ -192,12 +192,12 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
std::ostringstream out;
if (opencl_ilu_reorder == ILUReorder::LEVEL_SCHEDULING) {
out << "BILU0 reordering strategy: " << "level_scheduling\n";
findLevelScheduling(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices, CSCColPointers, jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
findLevelScheduling(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
for (int iii = 0; iii < numColors; ++iii) { out << "rpc: "<< rowsPerColor[iii] << "\n";}
out << "numColors: "<< numColors << "\n";
} else if (opencl_ilu_reorder == ILUReorder::GRAPH_COLORING) {
out << "BILU0 reordering strategy: " << "graph_coloring\n";
findGraphColoring<block_size>(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices, CSCColPointers, jacMat->Nb, jacMat->Nb, jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
findGraphColoring<block_size>(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb, jacMat->Nb, jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
for (int iii = 0; iii < numColors; ++iii) { out << "rpc: "<< rowsPerColor[iii] << "\n";}
out << "numColors: "<< numColors << "\n";
} else if (opencl_ilu_reorder == ILUReorder::NONE) {
@ -214,17 +214,12 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
if(verbosity >= 1){
out << "BILU0 analysis took: " << t_analysis.stop() << " s, " << numColors << " colors\n";
}
#if CHOW_PATEL
out << "BILU0 CHOW_PATEL: " << CHOW_PATEL << ", CHOW_PATEL_GPU: " << CHOW_PATEL_GPU;
#endif
OpmLog::info(out.str());
if (opencl_ilu_reorder != ILUReorder::NONE) {
delete[] CSCRowIndices;
delete[] CSCColPointers;
}
diagIndex.resize(mat->Nb);
invDiagVals.resize(mat->Nb * bs * bs);

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@ -133,6 +133,10 @@ public:
#endif
}
BlockedMatrix* getRJacMat()
{
return rJacMat.get();
}
};
} // namespace Accelerator

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@ -91,6 +91,12 @@ bool BISAI<block_size>::analyze_matrix(BlockedMatrix *mat)
return true;
}
template <unsigned int block_size>
bool BISAI<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat)
{
return analyze_matrix(mat);
}
template <unsigned int block_size>
void BISAI<block_size>::buildLowerSubsystemsStructures(){
lower.subsystemPointers.assign(Nb + 1, 0);
@ -254,6 +260,11 @@ bool BISAI<block_size>::create_preconditioner(BlockedMatrix *mat)
return true;
}
template <unsigned int block_size>
bool BISAI<block_size>::create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat)
{
return create_preconditioner(mat);
}
template <unsigned int block_size>
void BISAI<block_size>::apply(const cl::Buffer& x, cl::Buffer& y){

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@ -118,9 +118,12 @@ public:
// analysis, find reordering if specified
bool analyze_matrix(BlockedMatrix *mat) override;
bool analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
// ilu_decomposition
bool create_preconditioner(BlockedMatrix *mat) override;
bool create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
// apply preconditioner, x = prec(y)
void apply(const cl::Buffer& y, cl::Buffer& x) override;

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@ -80,6 +80,10 @@ bool CPR<block_size>::analyze_matrix(BlockedMatrix *mat_) {
return success;
}
template <unsigned int block_size>
bool CPR<block_size>::analyze_matrix(BlockedMatrix *mat_, BlockedMatrix *jacMat) {
return analyze_matrix(mat_);
}
template <unsigned int block_size>
bool CPR<block_size>::create_preconditioner(BlockedMatrix *mat_) {
@ -101,6 +105,10 @@ bool CPR<block_size>::create_preconditioner(BlockedMatrix *mat_) {
return result;
}
template <unsigned int block_size>
bool CPR<block_size>::create_preconditioner(BlockedMatrix *mat_, BlockedMatrix *jacMat) {
return create_preconditioner(mat_);
}
// return the absolute value of the N elements for which the absolute value is highest
double get_absmax(const double *data, const int N) {
return std::abs(*std::max_element(data, data + N, [](double a, double b){return std::fabs(a) < std::fabs(b);}));

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@ -126,6 +126,7 @@ public:
bool analyze_matrix(BlockedMatrix *mat) override;
bool analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
// set own Opencl variables, but also that of the bilu0 preconditioner
void setOpencl(std::shared_ptr<cl::Context>& context, std::shared_ptr<cl::CommandQueue>& queue) override;
@ -135,6 +136,8 @@ public:
bool create_preconditioner(BlockedMatrix *mat) override;
bool create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
int* getToOrder() override
{
return bilu0->getToOrder();