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/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c
#pragma omp parallel for private(i, row_index) HYPRE_SMP_SCHEDULE
100
re_IJMatrixPrintLevel(matrix); hypre_MPI_Comm_rank(comm, &my_id); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < nrows; i++) { row_index = rows[i]; if (row_index >= row_partitioning[0] && row_index < row_partitioning[1]) { /* compute local row number */ index = (HYPRE_Int)(row_index - row_partitioning[0]); ncols[i] = diag_i[index + 1] - diag_i[index] + offd_i[index + 1] - offd_i[index]; } else { ncols[i] = 0; if (print_level) { hypre_printf ("Warning! Row %b is not on Proc. %d!\n", row_index, my_id); } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, row_index) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c
#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE
100
offd = hypre_CSRMatrixNumNonzeros(offd); HYPRE_Int ii; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ii = 0; ii < nnz_diag; ii++) { diag_data[ii] = value; }<LOOP-END> <OMP-START>#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c
#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE
100
r (ii = 0; ii < nnz_diag; ii++) { diag_data[ii] = value; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ii = 0; ii < nnz_offd; ii++) { offd_data[ii] = value; }<LOOP-END> <OMP-START>#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c
#pragma omp parallel for private (i,j,j0,temp)
100
SRMatrixJ(diag); diag_data = hypre_CSRMatrixData(diag); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows; i++) { j0 = diag_i[i]; for (j = j0; j < diag_i[i + 1]; j++) { if (diag_j[j] == i) { temp = diag_data[j0]; diag_data[j0] = diag_data[j]; diag_data[j] = temp; diag_j[j] = diag_j[j0]; diag_j[j0] = i; break; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private (i,j,j0,temp)<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c
#pragma omp parallel for private(i)
100
+) { col_map_offd[i] = tmp_j[i]; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < nnz_offd; i++) { offd_j[i] = hypre_BigBinarySearch(col_map_offd, big_offd_j[i], num_cols_offd); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i)<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
read all row indices"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { rows[i] = (HYPRE_BigInt) i32buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
read all row indices"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { rows[i] = (HYPRE_BigInt) i64buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
ad all column indices"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { cols[i] = (HYPRE_BigInt) i32buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
ad all column indices"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { cols[i] = (HYPRE_BigInt) i64buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
l matrix coefficients"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { vals[i] = (HYPRE_Complex) f32buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJMatrix.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
l matrix coefficients"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { vals[i] = (HYPRE_Complex) f64buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/HYPRE_IJMatrix.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
pute preliminary partial sums (in parallel) within each interval */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = 0; j < nvals; j += bsize) { HYPRE_Int i, n = hypre_min((j + bsize), nvals); sums[j] = 0; for (i = j + 1; i < n; i++) { sums[i] = sums[i - 1] + vals[i - 1]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/HYPRE_IJMatrix.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
mpute final partial sums (in parallel) for the remaining entries */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = bsize; j < nvals; j += bsize) { HYPRE_Int i, n = hypre_min((j + bsize), nvals); for (i = j + 1; i < n; i++) { sums[i] += sums[j]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJVector_parcsr.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
num_values = (HYPRE_Int)(vec_stop - vec_start) + 1; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = 0; j < num_values; j++) { data[vecoffset + j * idxstride] = values[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJVector_parcsr.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
num_values = (HYPRE_Int)(vec_stop - vec_start) + 1; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = 0; j < num_values; j++) { data[vecoffset + j * idxstride] += values[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/aux_parcsr_matrix.c
#pragma omp parallel for private(i) reduction(+:local_num_rownnz) HYPRE_SMP_SCHEDULE
100
ownnz; /* Count number of nonzero rows */ local_num_rownnz = 0; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < local_num_rows; i++) { if (row_space[i] > 0) { local_num_rownnz++; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:local_num_rownnz) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJVector.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
l vector coefficients"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < total_size; i++) { buffer[i] = (HYPRE_Complex) f32buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/IJ_mv/IJVector.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
l vector coefficients"); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < total_size; i++) { buffer[i] = (HYPRE_Complex) f64buffer[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_cg.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
ectorCopy(z, p); } else { beta = rho / rhom1; #ifdef HYPRE_USING_OPENMP <LOOP-START>for ( i = 0; i < localNRows; i++ ) pData[i] = beta * pData[i] + zData[i]; } hypre_ParCSRMatrixMatvec(1.0, A, p, 0.0, ap); sigma = hypre_ParVectorInnerProd(p, ap); alpha = rho /sigma; if ( PSmat_ == NULL ) hypre_ParVectorAxpy(alpha, p, u); /* u = u + alpha p */ else for ( i = 0; i < localNRows; i++ ) u2Data[i] += alpha * pData[i]; hypre_ParVectorAxpy(-alpha, ap, r); /* r = r - alpha ap */ if (tolerance_ != 0.0 && maxIterations_ > 1) rnorm = sqrt(hypre_ParVectorInnerProd(r, r)); } /*----------------------------------------------------------------- * for domain decomposition, recover the solution vector *-----------------------------------------------------------------*/ if ( PSmat_ != NULL ) { uData = hypre_VectorData(hypre_ParVectorLocalVector(u)); for ( i = 0; i < shortNRows; i++ ) uData[i] = u2Data[i]; delete [] u2Data; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_amgsa_coarsen1.cxx
#pragma omp parallel for private(irow,j) HYPRE_SMP_SCHEDULE
100
if ( threshold_ > 0.0 ) { diagData = new double[AdiagNRows]; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (irow = 0; irow < AdiagNRows; irow++) { for (j = AdiagRPtr[irow]; j < AdiagRPtr[irow+1]; j++) { if ( AdiagCols[j] == irow ) { diagData[irow] = AdiagVals[j]; break; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(irow,j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_amgsa_coarsen1.cxx
#pragma omp parallel for private(irow,j,jj,index,dcomp1,dcomp2) HYPRE_SMP_SCHEDULE
100
} epsilon = epsilon * epsilon; rowLengths = new int[AdiagNRows]; #ifdef HYPRE_USING_OPENMP <LOOP-START>for ( irow = 0; irow < AdiagNRows; irow++ ) { rowLengths[irow] = 0; index = startRow + irow; if ( localLabels != NULL ) labeli = localLabels[irow]; else labeli = 0; if ( epsilon > 0.0 ) { for (j = AdiagRPtr[irow]; j < AdiagRPtr[irow+1]; j++) { jj = AdiagCols[j]; if ( localLabels != NULL ) labelj = localLabels[jj]; else labelj = 0; if ( jj != irow ) { dcomp1 = AdiagVals[j] * AdiagVals[j]; if (dcomp1 > 0.0 && labeli == labelj) rowLengths[irow]++; } } } else { for (j = AdiagRPtr[irow]; j < AdiagRPtr[irow+1]; j++) { jj = AdiagCols[j]; if ( localLabels != NULL ) labelj = localLabels[jj]; else labelj = 0; if ( jj != irow && AdiagVals[j] != 0.0 && labeli == labelj ) rowLengths[irow]++; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(irow,j,jj,index,dcomp1,dcomp2) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_gs.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
le); commHandle = NULL; } if (nthreads > 1) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) tmpData[i] = uData[i]; #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i,ii,j,jj,ns,ne,res,rest,size) HYPRE_SMP_SCHEDULE for (j = 0; j < nthreads; j++) { size = localNRows/nthreads; rest = localNRows - size*nthreads; if (j < rest) { ns = j*size+j; ne = (j+1)*size+j+1; } else { ns = j*size+rest; ne = (j+1)*size+rest; } for (i = ns; i < ne; i++) /* interior points first */ { /*----------------------------------------------------------- * If diagonal is nonzero, relax point i; otherwise, skip it. *-----------------------------------------------------------*/ if ( ADiagA[ADiagI[i]] != zero) { res = fData[i]; for (jj = ADiagI[i]; jj < ADiagI[i+1]; jj++) { ii = ADiagJ[jj]; if (ii >= ns && ii < ne) res -= ADiagA[jj] * uData[ii]; else res -= ADiagA[jj] * tmpData[ii]; } for (jj = AOffdI[i]; jj < AOffdI[i+1]; jj++) { ii = AOffdJ[jj]; res -= AOffdA[jj] * vExtData[ii]; } uData[i] += relaxWeight * (res / ADiagA[ADiagI[i]]); } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_gs.cxx
#pragma omp parallel for private(i,ii,j,jj,ns,ne,res,rest,size) HYPRE_SMP_SCHEDULE
100
#endif for (i = 0; i < localNRows; i++) tmpData[i] = uData[i]; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = 0; j < nthreads; j++) { size = localNRows/nthreads; rest = localNRows - size*nthreads; if (j < rest) { ns = j*size+j; ne = (j+1)*size+j+1; } else { ns = j*size+rest; ne = (j+1)*size+rest; } for (i = ns; i < ne; i++) /* interior points first */ { /*----------------------------------------------------------- * If diagonal is nonzero, relax point i; otherwise, skip it. *-----------------------------------------------------------*/ if ( ADiagA[ADiagI[i]] != zero) { res = fData[i]; for (jj = ADiagI[i]; jj < ADiagI[i+1]; jj++) { ii = ADiagJ[jj]; if (ii >= ns && ii < ne) res -= ADiagA[jj] * uData[ii]; else res -= ADiagA[jj] * tmpData[ii]; } for (jj = AOffdI[i]; jj < AOffdI[i+1]; jj++) { ii = AOffdJ[jj]; res -= AOffdA[jj] * vExtData[ii]; } uData[i] += relaxWeight * (res / ADiagA[ADiagI[i]]); } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,ii,j,jj,ns,ne,res,rest,size) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_jacobi.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
rData[i] = dtemp; } } } #ifdef HYPRE_USING_OPENMP <LOOP-START>for ( i = 0; i < localNRows; i++ ) uData[i] += weight * rData[i] * diagonal_[i]; zeroInitialGuess_ = 0; } } else { if (numFpts_ != localNRows) { printf("MLI_Solver_Jacobi::solve ERROR : length mismatch.\n"); exit(1); } f2 = (hypre_ParVector *) auxVec2_->getVector(); u2 = (hypre_ParVector *) auxVec3_->getVector(); fData = hypre_VectorData(hypre_ParVectorLocalVector(f)); f2Data = hypre_VectorData(hypre_ParVectorLocalVector(f2)); u2Data = hypre_VectorData(hypre_ParVectorLocalVector(u2)); for (i = 0; i < numFpts_; i++) f2Data[i] = fData[FptList_[i]]; for (i = 0; i < numFpts_; i++) u2Data[i] = uData[FptList_[i]]; for ( is = 0; is < nSweeps_; is++ ) { weight = relaxWeights_[is]; hypre_ParVectorCopy(f2, r); if ( zeroInitialGuess_ == 0 ) hypre_ParCSRMatrixMatvec(-1.0, A, u2, 1.0, r); #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for ( i = 0; i < localNRows; i++ ) u2Data[i] += weight * rData[i] * diagonal_[i]; zeroInitialGuess_ = 0; } for (i = 0; i < numFpts_; i++) uData[FptList_[i]] = u2Data[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_jacobi.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
uess_ == 0 ) hypre_ParCSRMatrixMatvec(-1.0, A, u2, 1.0, r); #ifdef HYPRE_USING_OPENMP <LOOP-START>for ( i = 0; i < localNRows; i++ ) u2Data[i] += weight * rData[i] * diagonal_[i]; zeroInitialGuess_ = 0; } for (i = 0; i < numFpts_; i++) uData[FptList_[i]] = u2Data[i]; } return 0; } /****************************************************************************** * set Jacobi parameters *---------------------------------------------------------------------------*/ int MLI_Solver_Jacobi::setParams( char *paramString, int argc, char **argv ) { int i, *fList; double *weights=NULL; if ( !strcmp(paramString, "numSweeps") ) { if ( argc != 1 ) { printf("MLI_Solver_Jacobi::setParams ERROR : needs 1 arg.\n"); return 1; } nSweeps_ = *(int*) argv[0]; if ( nSweeps_ < 1 ) nSweeps_ = 1; if ( relaxWeights_ != NULL ) delete [] relaxWeights_; relaxWeights_ = NULL; return 0; } else if ( !strcmp(paramString, "setMaxEigen") ) { if ( argc != 1 ) { printf("MLI_Solver_Jacobi::setParams ERROR : needs 1 arg.\n"); return 1; } maxEigen_ = *(double*) argv[0]; return 0; } else if ( !strcmp(paramString, "relaxWeight") ) { if ( argc != 2 && argc != 1 ) { printf("MLI_Solver_Jacobi::setParams ERROR : needs 1 or 2 args.\n"); return 1; } if ( argc >= 1 ) nSweeps_ = *(int*) argv[0]; if ( argc == 2 ) weights = (double*) argv[1]; if ( nSweeps_ < 1 ) nSweeps_ = 1; if ( relaxWeights_ != NULL ) delete [] relaxWeights_; relaxWeights_ = NULL; if ( weights != NULL ) { relaxWeights_ = new double[nSweeps_]; for ( i = 0; i < nSweeps_; i++ ) relaxWeights_[i] = weights[i]; } } else if ( !strcmp(paramString, "zeroInitialGuess") ) { zeroInitialGuess_ = 1; return 0; } else if ( !strcmp(paramString, "setModifiedDiag") ) { modifiedD_ |= 1; return 0; } else if ( !strcmp(paramString, "useModifiedDiag") ) { modifiedD_ |= 2; return 0; } else if ( !strcmp(paramString, "setFptList") ) { if ( argc != 2 ) { printf("MLI_Solver_Jacobi::setParams ERROR : needs 2 args.\n"); return 1; } numFpts_ = *(int*) argv[0]; fList = (int*) argv[1]; if ( FptList_ != NULL ) delete [] FptList_; FptList_ = NULL; if (numFpts_ <= 0) return 0; FptList_ = new int[numFpts_];; for ( i = 0; i < numFpts_; i++ ) FptList_[i] = fList[i]; return 0; } else if ( !strcmp(paramString, "ownAmat") ) { ownAmat_ = 1; return 0; } #if 0 else { printf("MLI_Solver_Jacobi::setParams - parameter not recognized.\n"); printf(" Params = %s\n", paramString); return 1; } return 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
{ coef = mlsCf_[0] * mlsOver_; /* u = u + coef * Vtemp */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) uData[i] += (coef * VtempData[i]); /* compute residual Vtemp = A u - f */ hypre_ParVectorCopy(f,Vtemp); hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtemp); /* compute residual Wtemp = (I - omega * A)^deg Vtemp */ hypre_ParVectorCopy(Vtemp,Wtemp); for ( deg = 0; deg < mlsDeg_; deg++ ) { omega = mlsOm_[deg]; hypre_ParCSRMatrixMatvec(1.0, A, Wtemp, 0.0, Vtemp); for (i = 0; i < localNRows; i++) WtempData[i] -= (omega * VtempData[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
/* compute u = u - coef * Vtemp */ coef = mlsOver_ * mlsOm2_; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) uData[i] -= ( coef * VtempData[i] ); } else { /* Ytemp = coef * Vtemp */ coef = mlsCf_[0]; #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) YtempData[i] = (coef * VtempData[i]); /* Wtemp = coef * Vtemp */ for ( deg = 1; deg < mlsDeg_; deg++ ) { hypre_ParCSRMatrixMatvec(1.0, A, Vtemp, 0.0, Wtemp); hypre_ParVectorCopy(Wtemp,Vtemp); coef = mlsCf_[deg]; #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) YtempData[i] += ( coef * WtempData[i] ); } #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) uData[i] += (mlsOver_ * YtempData[i]); /* compute residual Vtemp = A u - f */ hypre_ParVectorCopy(f,Vtemp); hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtemp); /* compute residual Wtemp = (I - omega * A)^deg Vtemp */ hypre_ParVectorCopy(Vtemp,Wtemp); for ( deg = 0; deg < mlsDeg_; deg++ ) { omega = mlsOm_[deg]; hypre_ParCSRMatrixMatvec(1.0, A, Wtemp, 0.0, Vtemp); for (i = 0; i < localNRows; i++) WtempData[i] -= (omega * VtempData[i]); } /* compute residual Vtemp = (I - omega * A)^deg Wtemp */ hypre_ParVectorCopy(Wtemp,Vtemp); for ( deg = mlsDeg_-1; deg > -1; deg-- ) { omega = mlsOm_[deg]; hypre_ParCSRMatrixMatvec(1.0, A, Vtemp, 0.0, Wtemp); for (i = 0; i < localNRows; i++) VtempData[i] -= (omega * WtempData[i]); } /* compute u = u - coef * Vtemp */ coef = mlsOver_ * mlsOm2_; #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) uData[i] -= ( coef * VtempData[i] ); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
} else { /* Ytemp = coef * Vtemp */ coef = mlsCf_[0]; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) YtempData[i] = (coef * VtempData[i]); /* Wtemp = coef * Vtemp */ for ( deg = 1; deg < mlsDeg_; deg++ ) { hypre_ParCSRMatrixMatvec(1.0, A, Vtemp, 0.0, Wtemp); hypre_ParVectorCopy(Wtemp,Vtemp); coef = mlsCf_[deg]; #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) YtempData[i] += ( coef * WtempData[i] ); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
hypre_ParVectorCopy(Wtemp,Vtemp); coef = mlsCf_[deg]; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) YtempData[i] += ( coef * WtempData[i] ); } #ifdef HYPRE_USING_OPENMP #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE for (i = 0; i < localNRows; i++) uData[i] += (mlsOver_ * YtempData[i]); /* compute residual Vtemp = A u - f */ hypre_ParVectorCopy(f,Vtemp); hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtemp); /* compute residual Wtemp = (I - omega * A)^deg Vtemp */ hypre_ParVectorCopy(Vtemp,Wtemp); for ( deg = 0; deg < mlsDeg_; deg++ ) { omega = mlsOm_[deg]; hypre_ParCSRMatrixMatvec(1.0, A, Wtemp, 0.0, Vtemp); for (i = 0; i < localNRows; i++) WtempData[i] -= (omega * VtempData[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
Rows; i++) YtempData[i] += ( coef * WtempData[i] ); } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) uData[i] += (mlsOver_ * YtempData[i]); /* compute residual Vtemp = A u - f */ hypre_ParVectorCopy(f,Vtemp); hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtemp); /* compute residual Wtemp = (I - omega * A)^deg Vtemp */ hypre_ParVectorCopy(Vtemp,Wtemp); for ( deg = 0; deg < mlsDeg_; deg++ ) { omega = mlsOm_[deg]; hypre_ParCSRMatrixMatvec(1.0, A, Wtemp, 0.0, Vtemp); for (i = 0; i < localNRows; i++) WtempData[i] -= (omega * VtempData[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
/* compute u = u - coef * Vtemp */ coef = mlsOver_ * mlsOm2_; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < localNRows; i++) uData[i] -= ( coef * VtempData[i] ); } return(0); } /****************************************************************************** * set MLS parameters *---------------------------------------------------------------------------*/ int MLI_Solver_MLS::setParams( char *paramString, int argc, char **argv ) { if ( !strcmp(paramString, "maxEigen") ) { if ( argc != 1 ) { printf("MLI_Solver_MLS::setParams ERROR : needs 1 or 2 args.\n"); return 1; } maxEigen_ = *(double*) argv[0]; if ( maxEigen_ < 0.0 ) { printf("MLI_Solver_MLS::setParams ERROR - maxEigen <= 0 (%e)\n", maxEigen_); maxEigen_ = 0.0; return 1; } } else if ( !strcmp(paramString, "zeroInitialGuess") ) { zeroInitialGuess_ = 1; } return 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
--------------------------------------*/ if (alpha == 0.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows * blk_size; i++) { y_data[i] *= beta; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
alpha; if (temp != 1.0) { if (temp == 0.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows * blk_size; i++) { y_data[i] = 0.0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
y_data[i] = 0.0; } } else { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows * blk_size; i++) { y_data[i] *= temp; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i,jj,b1,b2,temp) HYPRE_SMP_SCHEDULE
100
*-----------------------------------------------------------------*/ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows; i++) { for (jj = A_i[i]; jj < A_i[i + 1]; jj++) { for (b1 = 0; b1 < blk_size; b1++) { temp = y_data[i * blk_size + b1]; for (b2 = 0; b2 < blk_size; b2++) { temp += A_data[jj * bnnz + b1 * blk_size + b2] * x_data[A_j[jj] * blk_size + b2]; } y_data[i * blk_size + b1] = temp; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,jj,b1,b2,temp) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
--------------------------------------*/ if (alpha != 1.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows * blk_size; i++) { y_data[i] *= alpha; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
--------------------------------------*/ if (alpha == 0.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols * blk_size; i++) { y_data[i] *= beta; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
alpha; if (temp != 1.0) { if (temp == 0.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols * blk_size; i++) { y_data[i] = 0.0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
y_data[i] = 0.0; } } else { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols * blk_size; i++) { y_data[i] *= temp; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i, jj,j, b1, b2) HYPRE_SMP_SCHEDULE
100
*-----------------------------------------------------------------*/ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows; i++) { for (jj = A_i[i]; jj < A_i[i + 1]; jj++) /*each nonzero in that row*/ { for (b1 = 0; b1 < blk_size; b1++) /*row */ { for (b2 = 0; b2 < blk_size; b2++) /*col*/ { j = A_j[jj]; /*col */ y_data[j * blk_size + b2] += A_data[jj * bnnz + b1 * blk_size + b2] * x_data[i * blk_size + b1]; } } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, jj,j, b1, b2) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
--------------------------------------*/ if (alpha != 1.0) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols * blk_size; i++) { y_data[i] *= alpha; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/seq_block_mv/dense_block_matmult.c
#pragma omp parallel for private(ib) HYPRE_SMP_SCHEDULE
100
re_DenseBlockMatrixNumNonzerosBlock(C); HYPRE_Int ib; #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (ib = 0; ib < num_blocks; ib++) { HYPRE_Int i, j, k; HYPRE_Complex *data_A = hypre_DenseBlockMatrixData(A) + ib * num_nonzeros_block_A; HYPRE_Complex *data_B = hypre_DenseBlockMatrixData(B) + ib * num_nonzeros_block_B; HYPRE_Complex *data_C = hypre_DenseBlockMatrixData(C) + ib * num_nonzeros_block_C; for (i = 0; i < num_rows_block_C; i++) { for (j = 0; j < num_cols_block_C; j++) { for (k = 0; k < num_rows_block_B; k++) { /* C[i][j] += A[i][k] * B[k][j]; */ hypre_DenseBlockMatrixDataIJ(C, data_C, i, j) += hypre_DenseBlockMatrixDataIJ(A, data_A, i, k) * hypre_DenseBlockMatrixDataIJ(B, data_B, k, j); } } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(ib) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c
#pragma omp parallel for schedule(static) firstprivate(alpha, x, y) \
100
_Real alpha, HYPRE_Real *x, HYPRE_Real *y) { START_FUNC_DH HYPRE_Int i; #ifdef USING_OPENMP_DH <LOOP-START>private(i) for (i=0; i<n; ++i) { y[i] = alpha*x[i] + y[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(alpha, x, y) \<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c
#pragma omp parallel for schedule(static) firstprivate(yOUT, xIN) \
100
_Int n, HYPRE_Real *xIN, HYPRE_Real *yOUT) { START_FUNC_DH HYPRE_Int i; #ifdef USING_OPENMP_DH <LOOP-START>private(i) for (i=0; i<n; ++i) { yOUT[i] = xIN[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(yOUT, xIN) \<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c
#pragma omp parallel for schedule(static) firstprivate(alpha, x) \
100
RE_Int n, HYPRE_Real alpha, HYPRE_Real *x) { START_FUNC_DH HYPRE_Int i; #ifdef USING_OPENMP_DH <LOOP-START>private(i) for (i=0; i<n; ++i) { x[i] *= alpha; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(alpha, x) \<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c
#pragma omp parallel for schedule(static) firstprivate(x, y) \
100
{ START_FUNC_DH HYPRE_Real result, local_result = 0.0; HYPRE_Int i; #ifdef USING_OPENMP_DH <LOOP-START>private(i) \ reduction(+:local_result) for (i=0; i<n; ++i) { local_result += x[i] * y[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(x, y) \<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c
#pragma omp parallel for schedule(static) firstprivate(x) \
100
) { START_FUNC_DH HYPRE_Real result, local_result = 0.0; HYPRE_Int i; #ifdef USING_OPENMP_DH <LOOP-START>private(i) \ reduction(+:local_result) for (i=0; i<n; ++i) { local_result += (x[i]*x[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(x) \<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/distributed_ls/ParaSails/Matrix.c
#pragma omp parallel for private(row,len,ind,val,temp,i) schedule(static)
100
l(mat->num_recv, mat->recv_req, mat->statuses); /* do the multiply */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (row=0; row<=mat->end_row - mat->beg_row; row++) { MatrixGetRow(mat, row, &len, &ind, &val); temp = 0.0; for (i=0; i<len; i++) { temp = temp + val[i] * mat->recvbuf[ind[i]]; } y[row] = temp; }<LOOP-END> <OMP-START>#pragma omp parallel for private(row,len,ind,val,temp,i) schedule(static)<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/struct_mv/boxloop_cuda.h
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
ry_location); if (exec_policy == HYPRE_EXEC_HOST) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (HYPRE_Int idx = 0; idx < length; idx++) { loop_body(idx); }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/struct_mv/_hypre_struct_mv.hpp
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
ry_location); if (exec_policy == HYPRE_EXEC_HOST) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (HYPRE_Int idx = 0; idx < length; idx++) { loop_body(idx); }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_vector.c
#pragma omp parallel for private(i) reduction(+:ierr) HYPRE_SMP_SCHEDULE
100
* vecstride; HYPRE_Int i, ierr = 0; if (indices) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_values; i++) { HYPRE_BigInt index = indices[i] - base; if (index < first_index || index > last_index) { ierr++; } else { HYPRE_Int local_index = (HYPRE_Int) (index - first_index); values[i] = data[vecoffset + local_index * idxstride]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:ierr) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_vector.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
hypre_error_in_arg(2); return hypre_error_flag; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_values; i++) { values[i] = data[vecoffset + i * idxstride]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c
#pragma omp parallel for private(i, ib, j) HYPRE_SMP_SCHEDULE
100
g_j = hypre_CTAlloc(HYPRE_Int, num_nonzeros_diag, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows_diag; i++) { ib = i / num_rows_block; A_diag_i[i] = i * num_cols_block; for (j = A_diag_i[i]; j < (i + 1) * num_cols_block; j++) { A_diag_j[j] = ib * num_cols_block + (j - A_diag_i[i]); } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, ib, j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
A_diag_j = hypre_CTAlloc(HYPRE_Int, num_nonzeros, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_nonzeros; i++) { A_diag_i[i] = A_diag_j[i] = i; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
i < num_nonzeros; i++) { A_diag_i[i] = A_diag_j[i] = i; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = num_nonzeros; i < num_rows + 1; i++) { A_diag_i[i] = num_nonzeros; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c
#pragma omp parallel for private(ii, i, j, count) HYPRE_SMP_SCHEDULE
100
ze = num_rows / num_threads; rest = num_rows - size * num_threads; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ii = 0; ii < num_threads; ii++) { HYPRE_Int ns, ne; if (ii < rest) { ns = ii * size + ii; ne = (ii + 1) * size + ii + 1; } else { ns = ii * size + rest; ne = (ii + 1) * size + rest; } count = diag_i[ns] + offd_i[ns];; for (i = ns; i < ne; i++) { matrix_i[i] = count; for (j = diag_i[i]; j < diag_i[i + 1]; j++) { matrix_data[count] = diag_data[j]; matrix_j[count++] = (HYPRE_BigInt)diag_j[j] + first_col_diag; } for (j = offd_i[i]; j < offd_i[i + 1]; j++) { matrix_data[count] = offd_data[j]; matrix_j[count++] = col_map_offd[offd_j[j]]; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(ii, i, j, count) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
p_offd_C, &col_map_offd_C_inverse); HYPRE_Int i, j; <LOOP-START>for (i = 0; i < num_cols_offd_A; i++) { for (j = B_ext_offd_i[i]; j < B_ext_offd_i[i + 1]; j++) { //B_ext_offd_j[j] = hypre_UnorderedIntMapGet(&col_map_offd_C_inverse, B_ext_offd_j[j]); B_ext_offd_j[j] = hypre_UnorderedBigIntMapGet(&col_map_offd_C_inverse, B_big_offd_j[j]); } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(ii, i, j)
100
; } map_to_B[i] = cnt; cnt++; } } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ii = 0; ii < num_threads; ii++) { HYPRE_Int *A_marker = NULL; HYPRE_Int ns, ne, A_col, num_cols, nmax; if (ii < rest) { ns = ii * size + ii; ne = (ii + 1) * size + ii + 1; } else { ns = ii * size + rest; ne = (ii + 1) * size + rest; } nmax = hypre_max(num_rows, num_cols_offd_B); A_marker = hypre_CTAlloc(HYPRE_Int, nmax, HYPRE_MEMORY_HOST); for (i = 0; i < num_rows; i++) { A_marker[i] = -1; } for (i = ns; i < ne; i++) { D_tmp[i] = 1.0 / d[i]; } num_cols = C_diag_i[ns]; for (i = ns; i < ne; i++) { for (j = A_diag_i[i]; j < A_diag_i[i + 1]; j++) { A_col = A_diag_j[j]; if (A_marker[A_col] < C_diag_i[i]) { A_marker[A_col] = num_cols; C_diag_j[num_cols] = A_col; C_diag_data[num_cols] = A_diag_data[j]; num_cols++; } else { C_diag_data[A_marker[A_col]] += A_diag_data[j]; } } for (j = B_diag_i[i]; j < B_diag_i[i + 1]; j++) { A_col = B_diag_j[j]; if (A_marker[A_col] < C_diag_i[i]) { A_marker[A_col] = num_cols; C_diag_j[num_cols] = A_col; C_diag_data[num_cols] = -D_tmp[i] * B_diag_data[j]; num_cols++; } else { C_diag_data[A_marker[A_col]] -= D_tmp[i] * B_diag_data[j]; } } } for (i = 0; i < num_cols_offd_B; i++) { A_marker[i] = -1; } num_cols = C_offd_i[ns]; for (i = ns; i < ne; i++) { for (j = A_offd_i[i]; j < A_offd_i[i + 1]; j++) { A_col = map_to_B[A_offd_j[j]]; if (A_marker[A_col] < B_offd_i[i]) { A_marker[A_col] = num_cols; C_offd_j[num_cols] = A_col; C_offd_data[num_cols] = A_offd_data[j]; num_cols++; } else { C_offd_data[A_marker[A_col]] += A_offd_data[j]; } } for (j = B_offd_i[i]; j < B_offd_i[i + 1]; j++) { A_col = B_offd_j[j]; if (A_marker[A_col] < B_offd_i[i]) { A_marker[A_col] = num_cols; C_offd_j[num_cols] = A_col; C_offd_data[num_cols] = -D_tmp[i] * B_offd_data[j]; num_cols++; } else { C_offd_data[A_marker[A_col]] -= D_tmp[i] * B_offd_data[j]; } } } hypre_TFree(A_marker, HYPRE_MEMORY_HOST); }<LOOP-END> <OMP-START>#pragma omp parallel for private(ii, i, j)<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
d_jstarts = hypre_TAlloc(HYPRE_Int, num_sends + 1, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i <= num_sends; i++) { send_jstarts[i] = send_i_offset[hypre_ParCSRCommPkgSendMapStart(comm_pkg, i)]; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE private(i,j,k)
100
ts[num_sends] == num_nnz_send); /* fill the CSR matrix: j and a */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows_send; i++) { HYPRE_Int i1 = send_i_offset[i]; j = hypre_ParCSRCommPkgSendMapElmt(comm_pkg, i); /* open row j and fill ja and a to send */ for (k = A_diag_i[j]; k < A_diag_i[j + 1]; k++) { send_j[i1] = first_col + A_diag_j[k]; if (want_data) { send_a[i1] = A_diag_a[k]; } i1++; } if (num_procs > 1) { for (k = A_offd_i[j]; k < A_offd_i[j + 1]; k++) { send_j[i1] = col_map_offd_A[A_offd_j[k]]; if (want_data) { send_a[i1] = A_offd_a[k]; } i1++; } } hypre_assert(send_i_offset[i + 1] == i1); }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE private(i,j,k)<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i,j,rowsum) reduction(max:maxsum) HYPRE_SMP_SCHEDULE
100
maxsum = hypre_max(maxsum, maxsum_local); } } #else #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_rows_diag_A; i++) { rowsum = 0.0; for (j = A_diag_i[i]; j < A_diag_i[i + 1]; j++) { rowsum += hypre_cabs(A_diag_a[j]); } for (j = A_offd_i[i]; j < A_offd_i[i + 1]; j++) { rowsum += hypre_cabs(A_offd_a[j]); } maxsum = hypre_max(maxsum, rowsum); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,j,rowsum) reduction(max:maxsum) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
[num_sends], HYPRE_MEMORY_HOST); #endif /* Pack send data */ #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = send_map_starts[0]; i < send_map_starts[num_sends]; i++) { send_rdbuf_data[i] = rd_data[send_map_elmts[i]]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
coef; switch (x_num_vectors) { case 1: #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = 0; i < num_rows; i++) { x_data[i] = y_data[i] / A_data[A_i[i]]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE
100
A_data[A_i[i]]; } break; case 2: #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = 0; i < num_rows; i++) { coef = 1.0 / A_data[A_i[i]]; x_data[i] = y_data[i] * coef; x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE
100
cstride] * coef; } break; case 3: #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = 0; i < num_rows; i++) { coef = 1.0 / A_data[A_i[i]]; x_data[i] = y_data[i] * coef; x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef; x_data[i + 2 * x_vecstride] = y_data[i + 2 * y_vecstride] * coef; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE
100
cstride] * coef; } break; case 4: #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = 0; i < num_rows; i++) { coef = 1.0 / A_data[A_i[i]]; x_data[i] = y_data[i] * coef; x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef; x_data[i + 2 * x_vecstride] = y_data[i + 2 * y_vecstride] * coef; x_data[i + 3 * x_vecstride] = y_data[i + 3 * y_vecstride] * coef; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matop.c
#pragma omp parallel for private(i, k, coef) HYPRE_SMP_SCHEDULE
100
stride] * coef; } break; default: #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = 0; i < num_rows; i++) { coef = 1.0 / A_data[A_i[i]]; for (k = 0; k < x_num_vectors; k++) { x_data[i + k * x_vecstride] = y_data[i + k * y_vecstride] * coef; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i, k, coef) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_mv/par_csr_matvec.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
-------------------------------------------------------------*/ #if defined(HYPRE_USING_OPENMP) <LOOP-START>for (i = hypre_ParCSRCommPkgSendMapStart(comm_pkg, 0); i < hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends); i++) { x_buf_data[i] = x_local_data[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, i)]; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols_offd; i++) { col_map_offd_S[i] = col_map_offd_A[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols_offd; i++) { col_map_offd_S[i] = col_map_offd_A[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE
100
S same nonzero structure as A */ hypre_ParCSRMatrixCopy(A, S, 0); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_variables; i++) { diag = A_diag_data[A_diag_i[i]]; /* compute scaling factor and row sum */ row_scale = 0.0; row_sum = hypre_abs(diag); if (num_functions > 1) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (dof_func[i] == dof_func[A_diag_j[jA]]) { row_scale = hypre_max(row_scale, hypre_abs(A_diag_data[jA])); row_sum += hypre_abs(A_diag_data[jA]); } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (dof_func[i] == dof_func_offd[A_offd_j[jA]]) { row_scale = hypre_max(row_scale, hypre_abs(A_offd_data[jA])); row_sum += hypre_abs(A_offd_data[jA]); } } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { row_scale = hypre_max(row_scale, hypre_abs(A_diag_data[jA])); row_sum += hypre_abs(A_diag_data[jA]); } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { row_scale = hypre_max(row_scale, hypre_abs(A_offd_data[jA])); row_sum += hypre_abs(A_offd_data[jA]); } } /* compute row entries of S */ S_diag_j[A_diag_i[i]] = -1; /* reject diag entry */ if ( hypre_abs(row_sum) < hypre_abs(diag) * (2.0 - max_row_sum) && max_row_sum < 1.0 ) { /* make all dependencies weak */ for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { S_diag_j[jA] = -1; } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { S_offd_j[jA] = -1; } } else { if (num_functions > 1) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (hypre_abs(A_diag_data[jA]) <= strength_threshold * row_scale || dof_func[i] != dof_func[A_diag_j[jA]]) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (hypre_abs(A_offd_data[jA]) <= strength_threshold * row_scale || dof_func[i] != dof_func_offd[A_offd_j[jA]]) { S_offd_j[jA] = -1; } } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (hypre_abs(A_diag_data[jA]) <= strength_threshold * row_scale) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (hypre_abs(A_offd_data[jA]) <= strength_threshold * row_scale) { S_offd_j[jA] = -1; } } } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
int_buf_data = hypre_TAlloc(HYPRE_BigInt, end, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (index = begin; index < end; index++) { big_int_buf_data[index - begin] = (HYPRE_BigInt)fine_to_coarse[send_map_elmts[index]] + my_first_cpt; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
int_buf_data = hypre_TAlloc(HYPRE_Int, end, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (index = begin; index < end; index++) { int_buf_data[index - begin] = CF_marker[send_map_elmts[index]]; }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for private(j,k) reduction(+:num_nonzeros) HYPRE_SMP_SCHEDULE
100
-------------------*/ S_int_i[0] = 0; num_nonzeros = 0; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = begin; j < end; j++) { HYPRE_Int jrow = send_map_elmts[j]; HYPRE_Int index = 0; for (k = S_diag_i[jrow]; k < S_diag_i[jrow + 1]; k++) { if (CF_marker[S_diag_j[k]] > 0) { index++; } } for (k = S_offd_i[jrow]; k < S_offd_i[jrow + 1]; k++) { if (CF_marker_offd[S_offd_j[k]] > 0) { index++; } } S_int_i[j - begin + 1] = index; num_nonzeros += S_int_i[j - begin + 1]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(j,k) reduction(+:num_nonzeros) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_strength.c
#pragma omp parallel for HYPRE_SMP_SCHEDULE
100
fd_C, &col_map_offd_C, &col_map_offd_C_inverse); <LOOP-START>for (i = 0 ; i < S_ext_offd_size; i++) { S_ext_offd_j[i] = hypre_UnorderedBigIntMapGet(&col_map_offd_C_inverse, S_big_offd_j[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
variables + num_cols_offd, HYPRE_MEMORY_HOST); <LOOP-START>for (i = 0; i < S_offd_i[num_variables]; i++) { #pragma omp atomic measure_array_temp[num_variables + S_offd_j[i]]++; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
++) { #pragma omp atomic measure_array_temp[num_variables + S_offd_j[i]]++; } <LOOP-START>for (i = 0; i < num_cols_offd; i++) { measure_array[i + num_variables] = measure_array_temp[i + num_variables]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
buf_data); } /* calculate the local part for the local nodes */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < S_diag_i[num_variables]; i++) { #pragma omp atomic measure_array_temp[S_diag_j[i]]++; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
um_variables]; i++) { #pragma omp atomic measure_array_temp[S_diag_j[i]]++; } <LOOP-START>for (i = 0; i < num_variables; i++) { measure_array[i] = measure_array_temp[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE
100
fd, graph_offd_size, CF_marker, CF_marker_offd); */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ig = 0; ig < graph_size; ig++) { i = graph_array[ig]; if (measure_array[i] > 1) { CF_marker[i] = 1; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE
100
{ CF_marker[i] = 1; } } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ig = 0; ig < graph_offd_size; ig++) { i = graph_array_offd[ig]; if (measure_array[i + num_variables] > 1) { CF_marker_offd[i] = 1; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(ig, i, jS, j, jj) HYPRE_SMP_SCHEDULE
100
*-------------------------------------------------------*/ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ig = 0; ig < graph_size; ig++) { i = graph_array[ig]; if (measure_array[i] > 1) { /* for each local neighbor j of i */ for (jS = S_diag_i[i]; jS < S_diag_i[i + 1]; jS++) { j = S_diag_j[jS]; if (measure_array[j] > 1) { if (measure_array[i] > measure_array[j]) { CF_marker[j] = 0; } else if (measure_array[j] > measure_array[i]) { CF_marker[i] = 0; } } } /* for each offd neighbor j of i */ for (jS = S_offd_i[i]; jS < S_offd_i[i + 1]; jS++) { jj = S_offd_j[jS]; j = num_variables + jj; if (measure_array[j] > 1) { if (measure_array[i] > measure_array[j]) { CF_marker_offd[jj] = 0; } else if (measure_array[j] > measure_array[i]) { CF_marker[i] = 0; } } } } /* for each node with measure > 1 */ }<LOOP-END> <OMP-START>#pragma omp parallel for private(ig, i, jS, j, jj) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_coarsen.c
#pragma omp parallel for private(ig, i, jS, j) HYPRE_SMP_SCHEDULE
100
d F-pts. *------------------------------------------------*/ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (ig = 0; ig < graph_size; ig++) { i = graph_array[ig]; /*--------------------------------------------- * If the measure of i is smaller than 1, then * make i and F point (because it does not influence * any other point) *---------------------------------------------*/ if (measure_array[i] < 1) { CF_marker[i] = F_PT; } /*--------------------------------------------- * First treat the case where point i is in the * independent set: make i a C point, *---------------------------------------------*/ if (CF_marker[i] > 0) { CF_marker[i] = C_PT; } /*--------------------------------------------- * Now treat the case where point i is not in the * independent set: loop over * all the points j that influence equation i; if * j is a C point, then make i an F point. *---------------------------------------------*/ else { /* first the local part */ for (jS = S_diag_i[i]; jS < S_diag_i[i + 1]; jS++) { /* j is the column number, or the local number of the point influencing i */ j = S_diag_j[jS]; if (CF_marker[j] > 0) /* j is a C-point */ { CF_marker[i] = F_PT; } } /* now the external part */ for (jS = S_offd_i[i]; jS < S_offd_i[i + 1]; jS++) { j = S_offd_j[jS]; if (CF_marker_offd[j] > 0) /* j is a C-point */ { CF_marker[i] = F_PT; } } } /* end else */ }<LOOP-END> <OMP-START>#pragma omp parallel for private(ig, i, jS, j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) reduction(+:n_coarse,n_SF) HYPRE_SMP_SCHEDULE
100
(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); n_coarse = 0; n_SF = 0; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < n_fine; i++) { if (CF_marker[i] == 1) { n_coarse++; } else if (CF_marker[i] == -3) { n_SF++; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:n_coarse,n_SF) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) reduction(+:n_coarse_offd) HYPRE_SMP_SCHEDULE
100
CSRCommHandleDestroy(comm_handle); } } n_coarse_offd = 0; #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols_offd; i++) if (CF_marker_offd[i] == 1) { n_coarse_offd++; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:n_coarse_offd) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
c(HYPRE_Int, send_map_start[num_sends], HYPRE_MEMORY_HOST); } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_cols_offd + 1; i++) { Pext_i[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
for (i = 0; i < num_cols_offd + 1; i++) { Pext_i[i] = 0; } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < send_map_start[num_sends]; i++) { P_ncols[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(j,j1) reduction(+:Pext_send_size) HYPRE_SMP_SCHEDULE
100
[0] = 0; for (i = 0; i < num_sends; i++) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = send_map_start[i]; j < send_map_start[i + 1]; j++) { j1 = send_map_elmt[j]; if (assigned[j1] == pass - 1) { P_ncols[j] = P_diag_i[j1 + 1] + P_offd_i[j1 + 1]; Pext_send_size += P_ncols[j]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j,j1) reduction(+:Pext_send_size) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i,i1) HYPRE_SMP_SCHEDULE
100
i[i + 1] += P_offd_i[i]; } /* determine P for coarse points */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < n_coarse; i++) { i1 = C_array[i]; P_diag_j[P_diag_i[i1]] = fine_to_coarse[i1]; P_diag_data[P_diag_i[i1]] = 1.0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,i1) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
ffd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < new_num_cols_offd; i++) { P_marker_offd[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
oc(HYPRE_BigInt, new_counter[num_passes - 1], HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < new_counter[num_passes - 1]; i++) { big_permute[i] = -1; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i,big_k1) HYPRE_SMP_SCHEDULE
100
} hypre_BigQsort0(col_map_offd_P, 0, num_cols_offd_P - 1); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < new_counter[num_passes - 1]; i++) { big_k1 = big_permute[i]; if (big_k1 != -1) { permute[i] = hypre_BigBinarySearch(col_map_offd_P, big_k1, num_cols_offd_P); } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,big_k1) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
earch(col_map_offd_P, big_k1, num_cols_offd_P); } } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < P_offd_size; i++) { P_offd_j[i] = permute[P_offd_j[i]]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_multi_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
CSRMatrixNumCols(P_offd) = num_cols_offd_P; } if (n_SF) { #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < n_fine; i++) if (CF_marker[i] == -3) { CF_marker[i] = -1; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_lr_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
er_offd, fine_to_coarse_offd); } hypre_MatvecCommPkgCreate(P); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < n_fine; i++) { if (CF_marker[i] == -3) { CF_marker[i] = -1; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/ams.c
#pragma omp parallel for private(i,ii,j,k,ns,ne,rest,size,diag,cf_diag) HYPRE_SMP_SCHEDULE
100
omm_handle); hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST); } #ifdef HYPRE_USING_OPENMP <LOOP-START>for (k = 0; k < num_threads; k++) { size = num_rows / num_threads; rest = num_rows - size * num_threads; if (k < rest) { ns = k * size + k; ne = (k + 1) * size + k + 1; } else { ns = k * size + rest; ne = (k + 1) * size + rest; } if (option == 1) { for (i = ns; i < ne; i++) { l1_norm[i] = 0.0; if (cf_marker == NULL) { /* Add the l1 norm of the diag part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { l1_norm[i] += hypre_abs(A_diag_data[j]); } /* Add the l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { l1_norm[i] += hypre_abs(A_offd_data[j]); } } } else { cf_diag = cf_marker[i]; /* Add the CF l1 norm of the diag part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) if (cf_diag == cf_marker[A_diag_J[j]]) { l1_norm[i] += hypre_abs(A_diag_data[j]); } /* Add the CF l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) if (cf_diag == cf_marker_offd[A_offd_J[j]]) { l1_norm[i] += hypre_abs(A_offd_data[j]); } } } } } else if (option == 2) { for (i = ns; i < ne; i++) { l1_norm[i] = 0.0; if (cf_marker == NULL) { /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if (ii == i || ii < ns || ii >= ne) { l1_norm[i] += hypre_abs(A_diag_data[j]); } } /* Add the l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { l1_norm[i] += hypre_abs(A_offd_data[j]); } } } else { cf_diag = cf_marker[i]; /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if ((ii == i || ii < ns || ii >= ne) && (cf_diag == cf_marker[A_diag_J[j]])) { l1_norm[i] += hypre_abs(A_diag_data[j]); } } /* Add the CF l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { if (cf_diag == cf_marker_offd[A_offd_J[j]]) { l1_norm[i] += hypre_abs(A_offd_data[j]); } } } } } } else if (option == 3) { for (i = ns; i < ne; i++) { l1_norm[i] = 0.0; for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { l1_norm[i] += A_diag_data[j] * A_diag_data[j]; } if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { l1_norm[i] += A_offd_data[j] * A_offd_data[j]; } } } } else if (option == 4) { for (i = ns; i < ne; i++) { l1_norm[i] = 0.0; if (cf_marker == NULL) { /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if (ii == i || ii < ns || ii >= ne) { if (ii == i) { diag = hypre_abs(A_diag_data[j]); l1_norm[i] += hypre_abs(A_diag_data[j]); } else { l1_norm[i] += 0.5 * hypre_abs(A_diag_data[j]); } } } /* Add the l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { l1_norm[i] += 0.5 * hypre_abs(A_offd_data[j]); } } } else { cf_diag = cf_marker[i]; /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if ((ii == i || ii < ns || ii >= ne) && (cf_diag == cf_marker[A_diag_J[j]])) { if (ii == i) { diag = hypre_abs(A_diag_data[j]); l1_norm[i] += hypre_abs(A_diag_data[j]); } else { l1_norm[i] += 0.5 * hypre_abs(A_diag_data[j]); } } } /* Add the CF l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { if (cf_diag == cf_marker_offd[A_offd_J[j]]) { l1_norm[i] += 0.5 * hypre_abs(A_offd_data[j]); } } } } /* Truncate according to Remark 6.2 */ if (l1_norm[i] <= 4.0 / 3.0 * diag) { l1_norm[i] = diag; } } } else if (option == 5) /*stores diagonal of A for Jacobi using matvec, rlx 7 */ { /* Set the diag element */ for (i = ns; i < ne; i++) { l1_norm[i] = A_diag_data[A_diag_I[i]]; if (l1_norm[i] == 0) { l1_norm[i] = 1.0; } } } else if (option == 6) { for (i = ns; i < ne; i++) { l1_norm[i] = 0.0; if (cf_marker == NULL) { /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if (ii == i || ii < ns || ii >= ne) { if (ii == i) { diag = hypre_abs(A_diag_data[j]); } else { l1_norm[i] += 0.5 * hypre_abs(A_diag_data[j]); } } } /* Add the l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { l1_norm[i] += 0.5 * hypre_abs(A_offd_data[j]); } } l1_norm[i] = (diag + l1_norm[i] + hypre_sqrt(diag * diag + l1_norm[i] * l1_norm[i])) * 0.5; } else { cf_diag = cf_marker[i]; /* Add the diagonal and the local off-thread part of the ith row */ for (j = A_diag_I[i]; j < A_diag_I[i + 1]; j++) { ii = A_diag_J[j]; if ((ii == i || ii < ns || ii >= ne) && (cf_diag == cf_marker[A_diag_J[j]])) { if (ii == i) { diag = hypre_abs(A_diag_data[j]); } else { l1_norm[i] += 0.5 * hypre_abs(A_diag_data[j]); } } } /* Add the CF l1 norm of the offd part of the ith row */ if (num_cols_offd) { for (j = A_offd_I[i]; j < A_offd_I[i + 1]; j++) { if (cf_diag == cf_marker_offd[A_offd_J[j]]) { l1_norm[i] += 0.5 * hypre_abs(A_offd_data[j]); } } } l1_norm[i] = (diag + l1_norm[i] + hypre_sqrt(diag * diag + l1_norm[i] * l1_norm[i])) * 0.5; } } } if (option < 5) { /* Handle negative definite matrices */ for (i = ns; i < ne; i++) if (A_diag_data[A_diag_I[i]] < 0) { l1_norm[i] = -l1_norm[i]; } for (i = ns; i < ne; i++) /* if (hypre_abs(l1_norm[i]) < DBL_EPSILON) */ if (hypre_abs(l1_norm[i]) == 0.0) { hypre_error_in_arg(1); break; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,ii,j,k,ns,ne,rest,size,diag,cf_diag) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_relax_more.c
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
100
beta = gamma / gamma_old; /* p = s + beta p */ #ifdef HYPRE_USING_OPENMP <LOOP-START>for (j = 0; j < local_size; j++) { p_data[j] = s_data[j] + beta * p_data[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_nongalerkin.c
#pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE
100
S same nonzero structure as A */ hypre_ParCSRMatrixCopy(A, S, 1); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < num_variables; i++) { diag = A_diag_data[A_diag_i[i]]; /* compute scaling factor and row sum */ row_scale = 0.0; row_sum = diag; if (num_functions > 1) { if (diag < 0) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (dof_func[i] == dof_func[A_diag_j[jA]]) { row_scale = hypre_max(row_scale, A_diag_data[jA]); row_sum += A_diag_data[jA]; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (dof_func[i] == dof_func_offd[A_offd_j[jA]]) { row_scale = hypre_max(row_scale, A_offd_data[jA]); row_sum += A_offd_data[jA]; } } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (dof_func[i] == dof_func[A_diag_j[jA]]) { row_scale = hypre_min(row_scale, A_diag_data[jA]); row_sum += A_diag_data[jA]; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (dof_func[i] == dof_func_offd[A_offd_j[jA]]) { row_scale = hypre_min(row_scale, A_offd_data[jA]); row_sum += A_offd_data[jA]; } } } } else { if (diag < 0) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { row_scale = hypre_max(row_scale, A_diag_data[jA]); row_sum += A_diag_data[jA]; } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { row_scale = hypre_max(row_scale, A_offd_data[jA]); row_sum += A_offd_data[jA]; } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { row_scale = hypre_min(row_scale, A_diag_data[jA]); row_sum += A_diag_data[jA]; } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { row_scale = hypre_min(row_scale, A_offd_data[jA]); row_sum += A_offd_data[jA]; } } } /* compute row entries of S */ S_diag_j[A_diag_i[i]] = -1; if ((hypre_abs(row_sum) > hypre_abs(diag)*max_row_sum) && (max_row_sum < 1.0)) { /* make all dependencies weak */ for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { S_diag_j[jA] = -1; } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { S_offd_j[jA] = -1; } } else { if (num_functions > 1) { if (diag < 0) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (A_diag_data[jA] <= strength_threshold * row_scale || dof_func[i] != dof_func[A_diag_j[jA]]) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (A_offd_data[jA] <= strength_threshold * row_scale || dof_func[i] != dof_func_offd[A_offd_j[jA]]) { S_offd_j[jA] = -1; } } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (A_diag_data[jA] >= strength_threshold * row_scale || dof_func[i] != dof_func[A_diag_j[jA]]) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (A_offd_data[jA] >= strength_threshold * row_scale || dof_func[i] != dof_func_offd[A_offd_j[jA]]) { S_offd_j[jA] = -1; } } } } else { if (diag < 0) { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (A_diag_data[jA] <= strength_threshold * row_scale) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (A_offd_data[jA] <= strength_threshold * row_scale) { S_offd_j[jA] = -1; } } } else { for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++) { if (A_diag_data[jA] >= strength_threshold * row_scale) { S_diag_j[jA] = -1; } } for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++) { if (A_offd_data[jA] >= strength_threshold * row_scale) { S_offd_j[jA] = -1; } } } } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_nongalerkin.c
#pragma omp parallel for private(i,j,max_entry,max_entry_offd,global_col,global_row) HYPRE_SMP_SCHEDULE
100
drop-tolerance to compute new entries for sparsity pattern */ /*#ifdef HYPRE_USING_OPENMP <LOOP-START>*/ for (i = 0; i < num_variables; i++) { global_row = i + first_col_diag_RAP; /* Compute the drop tolerance for this row, which is just * abs(max of row i)*droptol */ max_entry = -1.0; for (j = RAP_diag_i[i]; j < RAP_diag_i[i + 1]; j++) { if ( (RAP_diag_j[j] != i) && (max_entry < hypre_abs(RAP_diag_data[j]) ) ) { max_entry = hypre_abs(RAP_diag_data[j]); } } for (j = RAP_offd_i[i]; j < RAP_offd_i[i + 1]; j++) { { if ( max_entry < hypre_abs(RAP_offd_data[j]) ) { max_entry = hypre_abs(RAP_offd_data[j]); } } } max_entry *= droptol; max_entry_offd = max_entry * collapse_beta; /* Loop over diag portion, adding all entries that are "strong" */ for (j = RAP_diag_i[i]; j < RAP_diag_i[i + 1]; j++) { if ( hypre_abs(RAP_diag_data[j]) > max_entry ) { global_col = RAP_diag_j[j] + first_col_diag_RAP; /*#ifdef HYPRE_USING_OPENMP #pragma omp critical (IJAdd) {*/ /* For efficiency, we do a buffered IJAddToValues * A[global_row, global_col] += 1.0 */ hypre_NonGalerkinIJBufferWrite(Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter, &ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, global_col, 1.0); if (sym_collapse) { hypre_NonGalerkinIJBufferWrite(Pattern, &ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols, global_col, global_row, 1.0); } /*}*/ } } /* Loop over offd portion, adding all entries that are "strong" */ for (j = RAP_offd_i[i]; j < RAP_offd_i[i + 1]; j++) { if ( hypre_abs(RAP_offd_data[j]) > max_entry_offd ) { global_col = col_map_offd_RAP[ RAP_offd_j[j] ]; /*#ifdef HYPRE_USING_OPENMP #pragma omp critical (IJAdd) {*/ /* For efficiency, we do a buffered IJAddToValues * A[global_row, global_col] += 1.0 */ hypre_NonGalerkinIJBufferWrite(Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter, &ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, global_col, 1.0); if (sym_collapse) { hypre_NonGalerkinIJBufferWrite(Pattern, &ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols, global_col, global_row, 1.0); } /*}*/ } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,j,max_entry,max_entry_offd,global_col,global_row) HYPRE_SMP_SCHEDULE<OMP-END>
/ascldap/users/netienn/Research/HPC-Coder/data/ClonedRepos/hypre-space/hypre/src/parcsr_ls/par_mod_lr_interp.c
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
100
} hypre_TFree(P_marker, HYPRE_MEMORY_HOST); #ifdef HYPRE_USING_OPENMP <LOOP-START>for (i = 0; i < P_offd_size; i++) { P_offd_j[i] = hypre_BinarySearch(map, P_offd_j[i], new_ncols_P_offd); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END>