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Removed extra copy of nnzs, now sends pointer to start of Dune::BCRSMatrix data to cusparseSolver.

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T.D. (Tongdong) Qiu 2019-12-06 14:33:52 +01:00
parent 48900df882
commit 8b92c5dca6
2 changed files with 14 additions and 37 deletions
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47
opm/simulators/linalg/bda/BdaBridge.cpp
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@ -90,16 +90,11 @@ int checkZeroDiagonal(BridgeMatrix& mat) {
}
// convert matrix to blocked csr (bsr) arrays
// if only_vals, do not convert rowPointers and colIndices
// iterate sparsity pattern from Matrix and put colIndices and rowPointers in arrays
// sparsity pattern should stay the same due to matrix-add-well-contributions
template <class BridgeMatrix>
void convertMatrixBsr(BridgeMatrix& mat, std::vector<double> &h_vals, std::vector<int> &h_rows, std::vector<int> &h_cols, int dim) {
void getSparsityPattern(BridgeMatrix& mat, std::vector<int> &h_rows, std::vector<int> &h_cols, int dim) {
int sum_nnzs = 0;
int nnz = mat.nonzeroes()*dim*dim;
// copy nonzeros
memcpy(h_vals.data(), &(mat[0][0][0][0]), sizeof(double)*nnz);
// convert colIndices and rowPointers
if(h_rows.size() == 0){
@ -116,13 +111,8 @@ void convertMatrixBsr(BridgeMatrix& mat, std::vector<double> &h_vals, std::vecto
// set last rowpointer
h_rows[mat.N()] = mat.nonzeroes();
}
} // end convertMatrixBsr()
} // end getSparsityPattern()
// converts the BlockVector b to a flat array
template <class BridgeVector>
void convertBlockVectorToArray(BridgeVector& b, std::vector<double> &h_b) {
memcpy(h_b.data(), &(b[0]), sizeof(double) * b.N() * b[0].dim());
}
#endif
template <class BridgeMatrix, class BridgeVector>
@ -133,8 +123,6 @@ void BdaBridge::solve_system(BridgeMatrix *mat OPM_UNUSED, BridgeVector &b OPM_U
if(use_gpu){
BdaResult result;
result.converged = false;
static std::vector<double> h_vals;
static std::vector<double> h_b;
static std::vector<int> h_rows;
static std::vector<int> h_cols;
int dim = (*mat)[0][0].N();
@ -146,13 +134,16 @@ void BdaBridge::solve_system(BridgeMatrix *mat OPM_UNUSED, BridgeVector &b OPM_U
exit(1);
}
if(h_vals.capacity() == 0){
h_vals.reserve(nnz);
h_vals.resize(nnz);
h_b.reserve(N);
h_b.resize(N);
if(h_rows.capacity() == 0){
h_rows.reserve(N+1);
h_cols.reserve(nnz);
h_cols.reserve(nnz);
#if PRINT_TIMERS_BRIDGE
Dune::Timer t;
#endif
getSparsityPattern(*mat, h_rows, h_cols, dim);
#if PRINT_TIMERS_BRIDGE
printf("getSparsityPattern(): %.4f s\n", t.stop());
#endif
}
#if PRINT_TIMERS_BRIDGE
@ -163,23 +154,13 @@ void BdaBridge::solve_system(BridgeMatrix *mat OPM_UNUSED, BridgeVector &b OPM_U
checkZeroDiagonal(*mat);
#endif
#if PRINT_TIMERS_BRIDGE
Dune::Timer t;
#endif
convertMatrixBsr(*mat, h_vals, h_rows, h_cols, dim);
convertBlockVectorToArray(b, h_b);
#if PRINT_TIMERS_BRIDGE
printf("Conversion to flat arrays: %.4f s\n", t.stop());
#endif
/////////////////////////
// actually solve
typedef cusparseSolverBackend::cusparseSolverStatus cusparseSolverStatus;
cusparseSolverStatus status = backend->solve_system(N, nnz, dim, h_vals.data(), h_rows.data(), h_cols.data(), h_b.data(), result);
// assume that underlying data (nonzeroes) from mat (Dune::BCRSMatrix) are contiguous, if this is not the case, cusparseSolver is expected to produce garbage
cusparseSolverStatus status = backend->solve_system(N, nnz, dim, static_cast<double*>(&(((*mat)[0][0][0][0]))), h_rows.data(), h_cols.data(), static_cast<double*>(&(b[0][0])), result);
switch(status){
case cusparseSolverStatus::CUSPARSE_SOLVER_SUCCESS:
//OpmLog::info("cusparseSolver converged");

4
opm/simulators/linalg/bda/cusparseSolverBackend.cu
View File

@ -342,10 +342,6 @@ namespace Opm
cusparseCreateBsrsv2Info(&info_U);
cudaCheckLastError("Could not create analysis info");
cudaMemcpyAsync(d_bRows, rows, sizeof(int)*(Nb+1), cudaMemcpyHostToDevice, stream);
cudaMemcpyAsync(d_bCols, cols, sizeof(int)*nnz, cudaMemcpyHostToDevice, stream);
cudaMemcpyAsync(d_bVals, vals, sizeof(double)*nnz, cudaMemcpyHostToDevice, stream);
cusparseDbsrilu02_bufferSize(cusparseHandle, order, Nb, nnzb,
descr_M, d_bVals, d_bRows, d_bCols, BLOCK_SIZE, info_M, &d_bufferSize_M);
cusparseDbsrsv2_bufferSize(cusparseHandle, order, operation, Nb, nnzb,